Objective:Verrucous epidermal nevus(VEN),seborrheic keratosis(SK),verruca plana(VP),verruca vulgaris(VV),and nevus sebaceous(NS)are common verrucous proliferative skin diseases with similar clinical appearances,often ...Objective:Verrucous epidermal nevus(VEN),seborrheic keratosis(SK),verruca plana(VP),verruca vulgaris(VV),and nevus sebaceous(NS)are common verrucous proliferative skin diseases with similar clinical appearances,often posing diagnostic challenges.Dermoscopy and reflectance confocal microscopy(RCM)can aid in their differentiation,yet their specific features under these tools have not been systematically described.This study aims to summarize and analyze the dermoscopic and RCM features of VEN,SK,VP,VV,and NS.Methods:A total of 121 patients with histopathologically confirmed verrucous proliferative skin diseases were enrolled.Dermoscopy and RCM imaging was used to observe and analyze the microscopic features of these conditions.Results:Under dermoscopy,the 5 diseases displayed distinct characteristics:VEN typically showed gyriform structures;SK was characterized by gyriform structures,comedo-like openings,and milia-like cysts;VP and VV featured dotted vessels and frogspawn-like structures;NS presented as brownish-yellow globules.RCM revealed shared features such as hyperkeratosis and acanthosis across all 5 diseases.Specific features included gyriform structures and elongated rete ridges in VEN;pseudocysts and gyriform structures in SK;evenly distributed ring-like structures in VP;vacuolated cells and papillomatous proliferation in VV;and frogspawn-like structures in NS.Conclusion:These 5 verrucous proliferative skin conditions exhibit distinguishable features under both dermoscopy and RCM.The combination of these 2 noninvasive imaging modalities holds significant clinical value for the differential diagnosis of verrucous proliferative skin diseases.展开更多
Biomedical image analysis has been exploited considerably by recent technology involvements,carrying about a pattern shift towards‘automation’and‘error free diagnosis’classification methods with markedly improved ...Biomedical image analysis has been exploited considerably by recent technology involvements,carrying about a pattern shift towards‘automation’and‘error free diagnosis’classification methods with markedly improved accurate diagnosis productivity and cost effectiveness.This paper proposes an automated deep learning model to diagnose skin disease at an early stage by using Dermoscopy images.The proposed model has four convolutional layers,two maxpool layers,one fully connected layer and three dense layers.All the convolutional layers are using the kernel size of 3∗3 whereas the maxpool layer is using the kernel size of 2∗2.The dermoscopy images are taken from the HAM10000 dataset.The proposed model is compared with the three different models of ResNet that are ResNet18,ResNet50 and ResNet101.The models are simulated with 32 batch size and Adadelta optimizer.The proposed model has obtained the best accuracy value of 0.96 whereas the ResNet101 model has obtained 0.90,the ResNet50 has obtained 0.89 and the ResNet18 model has obtained value as 0.86.Therefore,features obtained from the proposed model are more capable for improving the classification performance of multiple skin disease classes.This model can be used for early diagnosis of skin disease and can also act as a second opinion tool for dermatologists.展开更多
Objective and quantitative assessment of skin conditions is essential for cosmeceutical studies and research on skin aging and skin regeneration.Various handcraft-based image processing methods have been proposed to e...Objective and quantitative assessment of skin conditions is essential for cosmeceutical studies and research on skin aging and skin regeneration.Various handcraft-based image processing methods have been proposed to evaluate skin conditions objectively,but they have unavoidable disadvantages when used to analyze skin features accurately.This study proposes a hybrid segmentation scheme consisting of Deeplab v3+with an Inception-ResNet-v2 backbone,LightGBM,and morphological processing(MP)to overcome the shortcomings of handcraft-based approaches.First,we apply Deeplab v3+with an Inception-ResNet-v2 backbone for pixel segmentation of skin wrinkles and cells.Then,LightGBM and MP are used to enhance the pixel segmentation quality.Finally,we determine several skin features based on the results of wrinkle and cell segmentation.Our proposed segmentation scheme achieved a mean accuracy of 0.854,mean of intersection over union of 0.749,and mean boundary F1 score of 0.852,which achieved 1.1%,6.7%,and 14.8%improvement over the panoptic-based semantic segmentation method,respectively.展开更多
Skin cancer is the abnormal development of cells on the surface of the skin and is one of the most fatal diseases in humans.It usually appears in locations that are exposed to the sun,but can also appear in areas that...Skin cancer is the abnormal development of cells on the surface of the skin and is one of the most fatal diseases in humans.It usually appears in locations that are exposed to the sun,but can also appear in areas that are not regularly exposed to the sun.Due to the striking similarities between benign and malignant lesions,skin cancer detection remains a problem,even for expert dermatologists.Considering the inability of dermatologists to di-agnose skin cancer accurately,a convolutional neural network(CNN)approach was used for skin cancer diag-nosis.However,the CNN model requires a significant number of image datasets for better performance;thus,image augmentation and transfer learning techniques have been used in this study to boost the number of images and the performance of the model,because there are a limited number of medical images.This study proposes an ensemble transfer-learning-based model that can efficiently classify skin lesions into one of seven categories to aid dermatologists in skin cancer detection:(i)actinic keratoses,(ii)basal cell carcinoma,(iii)benign keratosis,(iv)dermatofibroma,(v)melanocytic nevi,(vi)melanoma,and(vii)vascular skin lesions.Five transfer learning models were used as the basis of the ensemble:MobileNet,EfficientNetV2B2,Xception,ResNeXt101,and Den-seNet201.In addition to the stratified 10-fold cross-validation,the results of each individual model were fused to achieve greater classification accuracy.An annealing learning rate scheduler and test time augmentation(TTA)were also used to increase the performance of the model during the training and testing stages.A total of 10,015 publicly available dermoscopy images from the HAM10000(Human Against Machine)dataset,which contained samples from the seven common skin lesion categories,were used to train and evaluate the models.The proposed technique attained 94.49%accuracy on the dataset.These results suggest that this strategy can be useful for improving the accuracy of skin cancer classification.However,the weighted average of F1-score,recall,and precision were obtained to be 94.68%,94.49%,and 95.07%,respectively.展开更多
Objective:Dermoscopy is a useful technique for improving the diagnostic accuracy of various types of skin disorders.In China,dermoscopy has been widely accepted,and domestic researchers have made tremendous progress i...Objective:Dermoscopy is a useful technique for improving the diagnostic accuracy of various types of skin disorders.In China,dermoscopy has been widely accepted,and domestic researchers have made tremendous progress in the field of dermoscopy.The main purpose of this review is to summarize the current status of dermoscopy in China and identify its future directions.Data sources:Articles included in this review were obtained by searching the following databases:Wanfang,China National Knowledge Infrastructure,PubMed,and the Web of Science.We focused on research published before 2019 with keywords including dermoscopy,dermoscopic,dermoscope and trichoscopy.Study selection:A total of 50 studies were selected.Of these studies,20 studies were in Chinese and 30 in English,research samples of all the studies were collected from Chinese populations.Results:Since 2000,more than 380 articles about dermoscopy have been published in domestic or foreign journals.Dermoscopy can improve the diagnostic accuracy of neoplastic diseases,evaluating the therapeutic effect of treatment,and determining the treatment endpoint,and it can also assist in the differential diagnosis of inflammatory diseases and in the assessment of the severity of the disease.In addition,researches about the applications of dermoscopy during surgical treatment have been published.Training courses aiming to improve the diagnostic ability of dermatologists,either face-to-face or online,have been offered.The Chinese Skin Image Database,launched in 2017 as a work platform for dermatologists,has promoted the development of dermoscopy in China.Computer-aided diagnostic systems based on the Chinese population are ready for use.In the future,cooperation,resource sharing,talent development,image management,and computer-aided diagnosis will be important directions for the development of dermoscopy in China.Conclusion:Dermoscopy has been widely used and developed in China,however,it still needs to address more challenges in the future.展开更多
Segmentation accuracy of dermoscopy images is important in the computer-aided diagnosis of skin cancer and a wide variety of segmentation methods for dermoscopy images have been developed. Considering that each method...Segmentation accuracy of dermoscopy images is important in the computer-aided diagnosis of skin cancer and a wide variety of segmentation methods for dermoscopy images have been developed. Considering that each method has its strengths and weaknesses, a novel adaptive segmentation framework based on multi-classification model is proposed for dermoscopy images. Firstly, five patterns of images are summarized according to the factors influencing segmentation. Then the matching relation is established between each image pattern and its optimal segmentationmethod. Next, the given image is classified into one of the five patterns by the multi-classification model based on BP neural network. Finaily, the optimal segmentation method for this image is selected according to the matching relation, and then the image is effectively segmented. Experiments show that the proposed method delivers better accuracy and more robust segmentation results compared with the other seven state-of-the-art methods.展开更多
Introduction:Nail psoriasis is a type of psoriasis involving nail lesions characterized by pitting,onycholysis,longitudinal ridges,and subungual hyperkeratosis.We herein describe a 9-year-old girl with nail psoriasis ...Introduction:Nail psoriasis is a type of psoriasis involving nail lesions characterized by pitting,onycholysis,longitudinal ridges,and subungual hyperkeratosis.We herein describe a 9-year-old girl with nail psoriasis who presented with nail crumbling and was treated with topical cream containing 45μg/g mouse monoclonal antibody to human interleukin-8.Case presentation:A 9-year-old Chinese girl presented with a 6-month history of a rough,thickened fingernail and toenails.Nail plate crumbling,onycholysis,and fissured periungual folds were observed under dermoscopy and ultraviolet dermoscopy.The nails were soaked in warm water,then topical wrapped with Abcream cream overnight.After about 4 months of treatment,the nails significantly improved by both dermoscopy and ultraviolet-dermoscopy evaluattion.Discussion:Due to the different wavelengths of light emitted by polarized light dermatoscope and ultraviolet-dermatoscope,the characteristics of observation will be different.Abcream acts by antagonizing human interleukin-8,inhibiting leukocyte chemotaxis and neovascularization,and regulating the abnormal proliferation and differentiation of keratinocytes.Conclusion:Ultraviolet-dermoscopy is pivotal in evaluating the severity and potency of nail psoriasis.And Abcream can be regarded as a new drug for the treatment of nail psoriasis in children.展开更多
Objective:Dermoscopic evaluation of tumor margins may help to accurately detect lateral borders before surgical excision.The purpose of this study was to comprehensively evaluate the usefulness of dermoscopically dete...Objective:Dermoscopic evaluation of tumor margins may help to accurately detect lateral borders before surgical excision.The purpose of this study was to comprehensively evaluate the usefulness of dermoscopically detecting basal cell carcinoma tumor margins before surgical excision.Methods:The authors retrospectively analyzed the outcomes of 60 basal cell carcinomas that were excised after undergoing dermoscopic evaluation of the margins from 2016 to 2018 in a single center in Macao SAR,China.Descriptive statistical analysis was carried out by using frequencies and percentages.Results:All treated tumors were completely excised,although five had safety margins of<1 mm.No re-excisions were performed and during a medium follow-up period of 31 months,none of the 60 tumors showed any evidence of recurrence.Conclusions:Our data suggest that the preoperative dermoscopic evaluation of tumor margins increases the chances of successful and complete tumor excision,while preserving healthy adjacent tissue.Further studies comparing dermoscopy-assisted versus conventional excision are needed to better evaluate the value of this technique.展开更多
Introduction: Scabies is an infectious skin disorder caused by the mite Sarcoptes scabiei. The diagnosis of scabies is often confirmed by microscopic detection of scabies mites, eggs, or feces.We herein describe the d...Introduction: Scabies is an infectious skin disorder caused by the mite Sarcoptes scabiei. The diagnosis of scabies is often confirmed by microscopic detection of scabies mites, eggs, or feces.We herein describe the diagnosis of scabies in a boy with the assistance of dermoscopy and fluorescence microscopy.Case presentation: A 16-year-old Chinese boy presented with a 2-month history of extensive papules and excoriations with intense pruritus on the trunk and limbs. Dermoscopy showed a sinuous burrow in the finger webs with a brown jet-shaped triangular structure at the end. A fluorescence microscopy revealed a hatching egg and a mite. The boy was diagnosed with scabies and treated with 5% sulfur ointment.Discussion: The use of dermoscopy in patients with scabies reveals a sinuous burrow with a brown jet-shaped triangular structure composed of the pigmented head and anterior legs of the mite[1]. A fluorescence microscopy revealed mites and eggs with blue fluorescence after staining, allowing us to easily identify scabies.Conlcusion: The combination of dermoscopy-guided tape testing with fluorescence staining technology may enhance the diagnostic accuracy and efficiency of scabies.展开更多
Introduction:Trichofolliculoma characterized clinically by the presence of acentral dilated pore with tufted hairs and corresponds histologically to a central primary follicle and many secondary vellus hair follicles ...Introduction:Trichofolliculoma characterized clinically by the presence of acentral dilated pore with tufted hairs and corresponds histologically to a central primary follicle and many secondary vellus hair follicles originating from it.Thus far,dermoscopy dascription of trichofolliculoma has been lacking.Here,we describe a typical case of trichofolliculoma,particularly the special manifestation under the dermoscopy.Case presentation:A 29-year-old man complained a five-year history of a nodule containing a central whitish hair plug on his left tempus.Dermoscopic examination revealed a well-defined,yellow macule with a central whitish hair plug surrounded by dilated capillaries,and histopathological analysis was consistent with trichofolliculoma.Discussion:The findings of dermoscopy were also vary,which may be affected by the origin of the disease,various phases of the hair cycle,depth of the lesion,and even external stimulus.Conclusion:Diagnosis of trichofolliculoma is sometimes difficult because the presence of the central crater and visible hairs is low,and dermoscopy examination may be a potentially useful diagnostic tool.展开更多
Acral melanoma(AM)is the most common histologic subtype of melanoma in dark-skinned patients and is associated with a worse prognosis and a high mortality rate,largely due to the inconspicuous nature of early-stage le...Acral melanoma(AM)is the most common histologic subtype of melanoma in dark-skinned patients and is associated with a worse prognosis and a high mortality rate,largely due to the inconspicuous nature of early-stage lesions,which can lead to late diagnosis.Because of the overlapping clinical and histopathological features of AM with other forms of cutaneous melanomas,early detection of AM requires a multidisciplinary approach that integrates various diagnostic modalities,including clinical examination,dermoscopy,histopathology,molecular testing,radiological imaging,and blood tests.While surgery is the preferred method of treatment for AM,other therapeutic options may be employed based on the stage and underlying etiology of the disease.Immune checkpoint inhibitors,molecular targeted therapy,radiotherapy,chemotherapy,and oncolytic virotherapy represent promising advanced treatment options for AM.In this review,we provide an overview of the latest advancements in diagnostic and therapeutic methods for AM,highlighting the importance of early detection and the prompt,individualized management of this challenging disease.展开更多
Skin cancer has been recognized as one of the most lethal and complex types of cancer for over a decade.The diagnosis of skin cancer is of paramount importance,yet the process is intricate and challenging.The analysis...Skin cancer has been recognized as one of the most lethal and complex types of cancer for over a decade.The diagnosis of skin cancer is of paramount importance,yet the process is intricate and challenging.The analysis and modeling of human skin pose significant difficulties due to its asymmetrical nature,the visibility of dense hair,and the presence of various substitute characteristics.The texture of the epidermis is notably different from that of normal skin,and these differences are often evident in cases of unhealthy skin.As a consequence,the development of an effective method for monitoring skin cancer has seen little progress.Moreover,the task of diagnosing skin cancer from dermoscopic images is particularly challenging.It is crucial to diagnose skin cancer at an early stage,despite the high cost associated with the procedure,as it is an expensive process.Unfortunately,the advancement of diagnostic techniques for skin cancer has been limited.To address this issue,there is a need for a more accurate and efficient method for identifying and categorizing skin cancer cases.This involves the evaluation of specific characteristics to distinguish between benign and malignant skin cancer occurrences.We present and evaluate several techniques for segmentation,categorized into three main types:thresholding,edge-based,and region-based.These techniques are applied to a dataset of 200 benign and melanoma lesions from the Hospital Pedro Hispano(PH2)collection.The evaluation is based on twelve distinct metrics,which are designed to measure various types of errors with particular clinical significance.Additionally,we assess the effectiveness of these techniques independently for three different types of lesions:melanocytic nevi,atypical nevi,and melanomas.The first technique is capable of classifying lesions into two categories:atypical nevi and melanoma,achieving the highest accuracy score of 90.00%with the Otsu(3-level)method.The second technique also classifies lesions into two categories:common nevi and melanoma,achieving a score of 90.80%with the Binarized Sauvola method.展开更多
The worldwide mortality rate due to cancer is second only to cardiovascular diseases.The discovery of image processing,latest artificial intelligence techniques,and upcoming algorithms can be used to effectively diagn...The worldwide mortality rate due to cancer is second only to cardiovascular diseases.The discovery of image processing,latest artificial intelligence techniques,and upcoming algorithms can be used to effectively diagnose and prognose cancer faster and reduce the mortality rate.Efficiently applying these latest techniques has increased the survival chances during recent years.The research community is making significant continuous progress in developing automated tools to assist dermatologists in decision making.The datasets used for the experimentation and analysis are ISBI 2016,ISBI 2017,and HAM 10000.In this work pertained models are used to extract the efficient feature.The pertained models applied are ResNet,InceptionV3,and classical feature extraction techniques.Before that,efficient preprocessing is conducted on dermoscopic images by applying various data augmentation techniques.Further,for classification,convolution neural networks were implemented.To classify dermoscopic images on HAM 1000 Dataset,the maximum attained accuracy is 89.30%for the proposed technique.The other parameters for measuring the performance attained 87.34%(Sen),86.33%(Pre),88.44%(F1-S),and 11.30%false-negative rate(FNR).The class with the highest TP rate is 97.6%for Melanoma;whereas,the lowest TP rate was for the Dermatofibroma class.For dataset ISBI2016,the accuracy achieved is 97.0%with the proposed classifier,whereas the other parameters for validation are 96.12%(Sen),97.01%(Pre),96.3%(F1-S),and further 3.7%(FNR).For the experiment with the ISBI2017 dataset,Sen,Pre,F1-S,and FNR were 93.9%,94.9%,93.9%,and 5.2%,respectively.展开更多
BACKGROUND Bowen’s disease (BD) is a persistent, progressive intraepidermal carcinoma. BD usually occurs in areas exposed to sunlight. Involvement of the dorsum of the hand is not rare, but that of the palmar aspect ...BACKGROUND Bowen’s disease (BD) is a persistent, progressive intraepidermal carcinoma. BD usually occurs in areas exposed to sunlight. Involvement of the dorsum of the hand is not rare, but that of the palmar aspect is very unusual. Only a few cases have been reported in the literature. CASE SUMMARY Here, we report the case of a 48-year-old male patient who presented with a history of persistent local erythema lasting for 2 years on the thenar eminence of the left palm. Initially diagnosed as hand eczema, the condition did not improve with intermittent treatment with anti-allergy medications or topical glucocorticoid ointments, among other approaches. Then, the area of erythema gradually enlarged and was accompanied by mild itching. For a definite diagnosis and treatment, the patient came to our hospital. Dermoscopic examination revealed BD, and histopathological examination confirmed the diagnosis. We performed partial resection of the skin lesion followed by photodynamic therapy. No recurrence was observed at the 6-mo follow-up. CONCLUSION For all atypical palmar lesions, early dermoscopy and/or skin biopsy are needed to avoid missed diagnosis or misdiagnosis.展开更多
Infantile hemangioma is clinically classified as superficial, superficial and deep (mixed), and deep. Dermoscopy can be used for analyzing vascular structure and for classifying infantile hemangioma. Here, we focus on...Infantile hemangioma is clinically classified as superficial, superficial and deep (mixed), and deep. Dermoscopy can be used for analyzing vascular structure and for classifying infantile hemangioma. Here, we focus on vascular features of the superficial and deep type of infantile hemangioma and show the three characteristic dermoscopic forms, mostly reddish, diffuse reddish, and cerebriform reddish.展开更多
Atypical fibroxanthoma(AFX) is a spindle cell neoplasm with low metastatic potential but high tendency to recur after surgery. Because of the rarity of this lesion and its aspecific clinical features, AFX could be eas...Atypical fibroxanthoma(AFX) is a spindle cell neoplasm with low metastatic potential but high tendency to recur after surgery. Because of the rarity of this lesion and its aspecific clinical features, AFX could be easily misdiagnosed and undertreated by many clinicians who encounter them. Dermoscopy represents a valuable tool for easily assessing skin lesions, even though histological examination is required for final diagnosis. We report a case of a cheek lesion with dermoscopic "blue amber pattern", easily recognisable and not observed in others skin tumours, which could represent an additional feature useful in differentiating this tumour from other skin neoplasms.展开更多
Labial and oral melanotic macules are commonly encountered in a broad range of conditions ranging from physiologic pigmentation to a sign of an underlying life-threatening disease. Although Laugier-Hunziker syndrome(L...Labial and oral melanotic macules are commonly encountered in a broad range of conditions ranging from physiologic pigmentation to a sign of an underlying life-threatening disease. Although Laugier-Hunziker syndrome(LHS) shares some features of labial and oral pigmentation with a variety of conditions, it is a benign and acquired condition, frequently associated with longitudinal melanonychia. Herein, the demographic, clinical, dermoscopic, and pathological aspects of LHS were reviewed comprehensively. The important differential diagnoses of mucocutaneous and nail pigmentation are provided. An accurate diagnosis is crucial to design a reasonable medical strategy, including management options, malignant transformation surveillance, and psychological support. It is important that clinicians conduct long-term follow-up and surveillance due to the potential risks of malignant transformation and local severe complications in some conditions.展开更多
Melanoma is a skin disease with high mortality rate while earlydiagnoses of the disease can increase the survival chances of patients. Itis challenging to automatically diagnose melanoma from dermoscopic skinsamples. ...Melanoma is a skin disease with high mortality rate while earlydiagnoses of the disease can increase the survival chances of patients. Itis challenging to automatically diagnose melanoma from dermoscopic skinsamples. Computer-Aided Diagnostic (CAD) tool saves time and effort indiagnosing melanoma compared to existing medical approaches. In this background,there is a need exists to design an automated classification modelfor melanoma that can utilize deep and rich feature datasets of an imagefor disease classification. The current study develops an Intelligent ArithmeticOptimization with Ensemble Deep Transfer Learning Based MelanomaClassification (IAOEDTT-MC) model. The proposed IAOEDTT-MC modelfocuses on identification and classification of melanoma from dermoscopicimages. To accomplish this, IAOEDTT-MC model applies image preprocessingat the initial stage in which Gabor Filtering (GF) technique is utilized.In addition, U-Net segmentation approach is employed to segment the lesionregions in dermoscopic images. Besides, an ensemble of DL models includingResNet50 and ElasticNet models is applied in this study. Moreover, AOalgorithm with Gated Recurrent Unit (GRU) method is utilized for identificationand classification of melanoma. The proposed IAOEDTT-MC methodwas experimentally validated with the help of benchmark datasets and theproposed model attained maximum accuracy of 92.09% on ISIC 2017 dataset.展开更多
BACKGROUND This paper presents a case of malignant hidroacanthoma simplex(HAS)and review the literature of previous cases to summarize the histopathological and immunohistochemical features and display the dermoscopic...BACKGROUND This paper presents a case of malignant hidroacanthoma simplex(HAS)and review the literature of previous cases to summarize the histopathological and immunohistochemical features and display the dermoscopic features of malignant HAS.CASE SUMMARY We present an 88-year-old Asian female with malignant HAS.The diagnosis was made according to the histopathological and immunohistochemical results after biopsy.Previous case reports of malignant HAS were retrieved from PubMed to characterize the histopathological and immunohistochemical features.We also display the dermoscopic features of malignant HAS that have not been reported.CONCLUSION Our findings demonstrate that prompt surgical treatment is an effective strategy for malignant HAS.Histopathology and immunohistochemistry are valuable diagnostic tools.This is the first case report to display the dermoscopic features of malignant HAS,and we speculate that dermoscopy may contribute to the diagnosis of malignant HAS.展开更多
Background: Spitz nevus is uncommon, benign melanocytic neoplasm that may show some clinical, dermoscopical and histological features of melanoma. It occurs often in childhood, but may appear also in early adulthood. ...Background: Spitz nevus is uncommon, benign melanocytic neoplasm that may show some clinical, dermoscopical and histological features of melanoma. It occurs often in childhood, but may appear also in early adulthood. Rare congenital cases have been reported in literature. It is frequently located on the face and the lower extremities, but in some cases may appears on the trunk. Methods: We report a case of a 9-years-old girl presented to our Dermatology Unit because of the presence of a pigmented lesion on her right leg, 4 mm in diameter, which was clinically and dermoscopically diagnosed as Spitz nevus. We described the clinical and dermoscopic features that we observed every six months, over 11 years follow-up period. Objective: Our observation show that the globular, the starburst, the homogeneous patterns and diffuse brown colour with diffuse hypopigmented areas may be the different expression that correspond to possible evolutionary phases of pigmented Spitz nevus.展开更多
基金supported by the Project of Health Committee of Hunan Province(D202304128868),China.
文摘Objective:Verrucous epidermal nevus(VEN),seborrheic keratosis(SK),verruca plana(VP),verruca vulgaris(VV),and nevus sebaceous(NS)are common verrucous proliferative skin diseases with similar clinical appearances,often posing diagnostic challenges.Dermoscopy and reflectance confocal microscopy(RCM)can aid in their differentiation,yet their specific features under these tools have not been systematically described.This study aims to summarize and analyze the dermoscopic and RCM features of VEN,SK,VP,VV,and NS.Methods:A total of 121 patients with histopathologically confirmed verrucous proliferative skin diseases were enrolled.Dermoscopy and RCM imaging was used to observe and analyze the microscopic features of these conditions.Results:Under dermoscopy,the 5 diseases displayed distinct characteristics:VEN typically showed gyriform structures;SK was characterized by gyriform structures,comedo-like openings,and milia-like cysts;VP and VV featured dotted vessels and frogspawn-like structures;NS presented as brownish-yellow globules.RCM revealed shared features such as hyperkeratosis and acanthosis across all 5 diseases.Specific features included gyriform structures and elongated rete ridges in VEN;pseudocysts and gyriform structures in SK;evenly distributed ring-like structures in VP;vacuolated cells and papillomatous proliferation in VV;and frogspawn-like structures in NS.Conclusion:These 5 verrucous proliferative skin conditions exhibit distinguishable features under both dermoscopy and RCM.The combination of these 2 noninvasive imaging modalities holds significant clinical value for the differential diagnosis of verrucous proliferative skin diseases.
基金This work was supported by Taif university Researchers Supporting Project Number(TURPS-2020/114),Taif University,Taif,Saudi Arabia.
文摘Biomedical image analysis has been exploited considerably by recent technology involvements,carrying about a pattern shift towards‘automation’and‘error free diagnosis’classification methods with markedly improved accurate diagnosis productivity and cost effectiveness.This paper proposes an automated deep learning model to diagnose skin disease at an early stage by using Dermoscopy images.The proposed model has four convolutional layers,two maxpool layers,one fully connected layer and three dense layers.All the convolutional layers are using the kernel size of 3∗3 whereas the maxpool layer is using the kernel size of 2∗2.The dermoscopy images are taken from the HAM10000 dataset.The proposed model is compared with the three different models of ResNet that are ResNet18,ResNet50 and ResNet101.The models are simulated with 32 batch size and Adadelta optimizer.The proposed model has obtained the best accuracy value of 0.96 whereas the ResNet101 model has obtained 0.90,the ResNet50 has obtained 0.89 and the ResNet18 model has obtained value as 0.86.Therefore,features obtained from the proposed model are more capable for improving the classification performance of multiple skin disease classes.This model can be used for early diagnosis of skin disease and can also act as a second opinion tool for dermatologists.
基金This work was supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.2020R1F1A1074885)was supported by the Brain Korea 21 Project in 2021(No.4199990114242).
文摘Objective and quantitative assessment of skin conditions is essential for cosmeceutical studies and research on skin aging and skin regeneration.Various handcraft-based image processing methods have been proposed to evaluate skin conditions objectively,but they have unavoidable disadvantages when used to analyze skin features accurately.This study proposes a hybrid segmentation scheme consisting of Deeplab v3+with an Inception-ResNet-v2 backbone,LightGBM,and morphological processing(MP)to overcome the shortcomings of handcraft-based approaches.First,we apply Deeplab v3+with an Inception-ResNet-v2 backbone for pixel segmentation of skin wrinkles and cells.Then,LightGBM and MP are used to enhance the pixel segmentation quality.Finally,we determine several skin features based on the results of wrinkle and cell segmentation.Our proposed segmentation scheme achieved a mean accuracy of 0.854,mean of intersection over union of 0.749,and mean boundary F1 score of 0.852,which achieved 1.1%,6.7%,and 14.8%improvement over the panoptic-based semantic segmentation method,respectively.
文摘Skin cancer is the abnormal development of cells on the surface of the skin and is one of the most fatal diseases in humans.It usually appears in locations that are exposed to the sun,but can also appear in areas that are not regularly exposed to the sun.Due to the striking similarities between benign and malignant lesions,skin cancer detection remains a problem,even for expert dermatologists.Considering the inability of dermatologists to di-agnose skin cancer accurately,a convolutional neural network(CNN)approach was used for skin cancer diag-nosis.However,the CNN model requires a significant number of image datasets for better performance;thus,image augmentation and transfer learning techniques have been used in this study to boost the number of images and the performance of the model,because there are a limited number of medical images.This study proposes an ensemble transfer-learning-based model that can efficiently classify skin lesions into one of seven categories to aid dermatologists in skin cancer detection:(i)actinic keratoses,(ii)basal cell carcinoma,(iii)benign keratosis,(iv)dermatofibroma,(v)melanocytic nevi,(vi)melanoma,and(vii)vascular skin lesions.Five transfer learning models were used as the basis of the ensemble:MobileNet,EfficientNetV2B2,Xception,ResNeXt101,and Den-seNet201.In addition to the stratified 10-fold cross-validation,the results of each individual model were fused to achieve greater classification accuracy.An annealing learning rate scheduler and test time augmentation(TTA)were also used to increase the performance of the model during the training and testing stages.A total of 10,015 publicly available dermoscopy images from the HAM10000(Human Against Machine)dataset,which contained samples from the seven common skin lesion categories,were used to train and evaluate the models.The proposed technique attained 94.49%accuracy on the dataset.These results suggest that this strategy can be useful for improving the accuracy of skin cancer classification.However,the weighted average of F1-score,recall,and precision were obtained to be 94.68%,94.49%,and 95.07%,respectively.
基金This work was supported by grants from Milstein Medical Asian American Partnership Foundation Research Project(No.MMAAP2016023)Open Research Funding of China Skin Image Database(No.CSID-ORF-201711 and No.CSID-ORF-201918)the Fundamental Research Funds for the Central Universities of China(No.3332018182).
文摘Objective:Dermoscopy is a useful technique for improving the diagnostic accuracy of various types of skin disorders.In China,dermoscopy has been widely accepted,and domestic researchers have made tremendous progress in the field of dermoscopy.The main purpose of this review is to summarize the current status of dermoscopy in China and identify its future directions.Data sources:Articles included in this review were obtained by searching the following databases:Wanfang,China National Knowledge Infrastructure,PubMed,and the Web of Science.We focused on research published before 2019 with keywords including dermoscopy,dermoscopic,dermoscope and trichoscopy.Study selection:A total of 50 studies were selected.Of these studies,20 studies were in Chinese and 30 in English,research samples of all the studies were collected from Chinese populations.Results:Since 2000,more than 380 articles about dermoscopy have been published in domestic or foreign journals.Dermoscopy can improve the diagnostic accuracy of neoplastic diseases,evaluating the therapeutic effect of treatment,and determining the treatment endpoint,and it can also assist in the differential diagnosis of inflammatory diseases and in the assessment of the severity of the disease.In addition,researches about the applications of dermoscopy during surgical treatment have been published.Training courses aiming to improve the diagnostic ability of dermatologists,either face-to-face or online,have been offered.The Chinese Skin Image Database,launched in 2017 as a work platform for dermatologists,has promoted the development of dermoscopy in China.Computer-aided diagnostic systems based on the Chinese population are ready for use.In the future,cooperation,resource sharing,talent development,image management,and computer-aided diagnosis will be important directions for the development of dermoscopy in China.Conclusion:Dermoscopy has been widely used and developed in China,however,it still needs to address more challenges in the future.
基金Acknowledgements This work was supported by the National Natural Science Foundation of China （Grant Nos. 61471016, 61371134 and 61271436）.
文摘Segmentation accuracy of dermoscopy images is important in the computer-aided diagnosis of skin cancer and a wide variety of segmentation methods for dermoscopy images have been developed. Considering that each method has its strengths and weaknesses, a novel adaptive segmentation framework based on multi-classification model is proposed for dermoscopy images. Firstly, five patterns of images are summarized according to the factors influencing segmentation. Then the matching relation is established between each image pattern and its optimal segmentationmethod. Next, the given image is classified into one of the five patterns by the multi-classification model based on BP neural network. Finaily, the optimal segmentation method for this image is selected according to the matching relation, and then the image is effectively segmented. Experiments show that the proposed method delivers better accuracy and more robust segmentation results compared with the other seven state-of-the-art methods.
基金This research was supported by the Project for Disciplines of Excellence(No.ZYJC18033)the HX-Academician Project(No.HXYS19003)of West China Hospital,Sichuan University China.
文摘Introduction:Nail psoriasis is a type of psoriasis involving nail lesions characterized by pitting,onycholysis,longitudinal ridges,and subungual hyperkeratosis.We herein describe a 9-year-old girl with nail psoriasis who presented with nail crumbling and was treated with topical cream containing 45μg/g mouse monoclonal antibody to human interleukin-8.Case presentation:A 9-year-old Chinese girl presented with a 6-month history of a rough,thickened fingernail and toenails.Nail plate crumbling,onycholysis,and fissured periungual folds were observed under dermoscopy and ultraviolet dermoscopy.The nails were soaked in warm water,then topical wrapped with Abcream cream overnight.After about 4 months of treatment,the nails significantly improved by both dermoscopy and ultraviolet-dermoscopy evaluattion.Discussion:Due to the different wavelengths of light emitted by polarized light dermatoscope and ultraviolet-dermatoscope,the characteristics of observation will be different.Abcream acts by antagonizing human interleukin-8,inhibiting leukocyte chemotaxis and neovascularization,and regulating the abnormal proliferation and differentiation of keratinocytes.Conclusion:Ultraviolet-dermoscopy is pivotal in evaluating the severity and potency of nail psoriasis.And Abcream can be regarded as a new drug for the treatment of nail psoriasis in children.
文摘Objective:Dermoscopic evaluation of tumor margins may help to accurately detect lateral borders before surgical excision.The purpose of this study was to comprehensively evaluate the usefulness of dermoscopically detecting basal cell carcinoma tumor margins before surgical excision.Methods:The authors retrospectively analyzed the outcomes of 60 basal cell carcinomas that were excised after undergoing dermoscopic evaluation of the margins from 2016 to 2018 in a single center in Macao SAR,China.Descriptive statistical analysis was carried out by using frequencies and percentages.Results:All treated tumors were completely excised,although five had safety margins of<1 mm.No re-excisions were performed and during a medium follow-up period of 31 months,none of the 60 tumors showed any evidence of recurrence.Conclusions:Our data suggest that the preoperative dermoscopic evaluation of tumor margins increases the chances of successful and complete tumor excision,while preserving healthy adjacent tissue.Further studies comparing dermoscopy-assisted versus conventional excision are needed to better evaluate the value of this technique.
文摘Introduction: Scabies is an infectious skin disorder caused by the mite Sarcoptes scabiei. The diagnosis of scabies is often confirmed by microscopic detection of scabies mites, eggs, or feces.We herein describe the diagnosis of scabies in a boy with the assistance of dermoscopy and fluorescence microscopy.Case presentation: A 16-year-old Chinese boy presented with a 2-month history of extensive papules and excoriations with intense pruritus on the trunk and limbs. Dermoscopy showed a sinuous burrow in the finger webs with a brown jet-shaped triangular structure at the end. A fluorescence microscopy revealed a hatching egg and a mite. The boy was diagnosed with scabies and treated with 5% sulfur ointment.Discussion: The use of dermoscopy in patients with scabies reveals a sinuous burrow with a brown jet-shaped triangular structure composed of the pigmented head and anterior legs of the mite[1]. A fluorescence microscopy revealed mites and eggs with blue fluorescence after staining, allowing us to easily identify scabies.Conlcusion: The combination of dermoscopy-guided tape testing with fluorescence staining technology may enhance the diagnostic accuracy and efficiency of scabies.
基金The study was supported by CAMS Innovation Fund for Medical Sciences(No.CIFMS-2017-I2M-1-017).
文摘Introduction:Trichofolliculoma characterized clinically by the presence of acentral dilated pore with tufted hairs and corresponds histologically to a central primary follicle and many secondary vellus hair follicles originating from it.Thus far,dermoscopy dascription of trichofolliculoma has been lacking.Here,we describe a typical case of trichofolliculoma,particularly the special manifestation under the dermoscopy.Case presentation:A 29-year-old man complained a five-year history of a nodule containing a central whitish hair plug on his left tempus.Dermoscopic examination revealed a well-defined,yellow macule with a central whitish hair plug surrounded by dilated capillaries,and histopathological analysis was consistent with trichofolliculoma.Discussion:The findings of dermoscopy were also vary,which may be affected by the origin of the disease,various phases of the hair cycle,depth of the lesion,and even external stimulus.Conclusion:Diagnosis of trichofolliculoma is sometimes difficult because the presence of the central crater and visible hairs is low,and dermoscopy examination may be a potentially useful diagnostic tool.
基金This work was supported by the Zhejiang Provincial Natural Science Foundation of China(No.LS21H060001)the Alibaba Youth Studio Project(No.ZJU-032)the Zhejiang Province Medical and Health Science and Technology Program(Nos.2022KY1455 and 2022RC136).The funding bodies had no role in the design of the study,in collection,analysis,and interpretation of data,or in drafting the manuscript.We thank Fatima ALALIWI and Ma LING for their invaluable support and encouragement.
文摘Acral melanoma(AM)is the most common histologic subtype of melanoma in dark-skinned patients and is associated with a worse prognosis and a high mortality rate,largely due to the inconspicuous nature of early-stage lesions,which can lead to late diagnosis.Because of the overlapping clinical and histopathological features of AM with other forms of cutaneous melanomas,early detection of AM requires a multidisciplinary approach that integrates various diagnostic modalities,including clinical examination,dermoscopy,histopathology,molecular testing,radiological imaging,and blood tests.While surgery is the preferred method of treatment for AM,other therapeutic options may be employed based on the stage and underlying etiology of the disease.Immune checkpoint inhibitors,molecular targeted therapy,radiotherapy,chemotherapy,and oncolytic virotherapy represent promising advanced treatment options for AM.In this review,we provide an overview of the latest advancements in diagnostic and therapeutic methods for AM,highlighting the importance of early detection and the prompt,individualized management of this challenging disease.
文摘Skin cancer has been recognized as one of the most lethal and complex types of cancer for over a decade.The diagnosis of skin cancer is of paramount importance,yet the process is intricate and challenging.The analysis and modeling of human skin pose significant difficulties due to its asymmetrical nature,the visibility of dense hair,and the presence of various substitute characteristics.The texture of the epidermis is notably different from that of normal skin,and these differences are often evident in cases of unhealthy skin.As a consequence,the development of an effective method for monitoring skin cancer has seen little progress.Moreover,the task of diagnosing skin cancer from dermoscopic images is particularly challenging.It is crucial to diagnose skin cancer at an early stage,despite the high cost associated with the procedure,as it is an expensive process.Unfortunately,the advancement of diagnostic techniques for skin cancer has been limited.To address this issue,there is a need for a more accurate and efficient method for identifying and categorizing skin cancer cases.This involves the evaluation of specific characteristics to distinguish between benign and malignant skin cancer occurrences.We present and evaluate several techniques for segmentation,categorized into three main types:thresholding,edge-based,and region-based.These techniques are applied to a dataset of 200 benign and melanoma lesions from the Hospital Pedro Hispano(PH2)collection.The evaluation is based on twelve distinct metrics,which are designed to measure various types of errors with particular clinical significance.Additionally,we assess the effectiveness of these techniques independently for three different types of lesions:melanocytic nevi,atypical nevi,and melanomas.The first technique is capable of classifying lesions into two categories:atypical nevi and melanoma,achieving the highest accuracy score of 90.00%with the Otsu(3-level)method.The second technique also classifies lesions into two categories:common nevi and melanoma,achieving a score of 90.80%with the Binarized Sauvola method.
基金This research project was supported by a grant from the“Research Center of the Female Scientific and Medical Colleges,”Deanship of Scientific Research,King Saud University。
文摘The worldwide mortality rate due to cancer is second only to cardiovascular diseases.The discovery of image processing,latest artificial intelligence techniques,and upcoming algorithms can be used to effectively diagnose and prognose cancer faster and reduce the mortality rate.Efficiently applying these latest techniques has increased the survival chances during recent years.The research community is making significant continuous progress in developing automated tools to assist dermatologists in decision making.The datasets used for the experimentation and analysis are ISBI 2016,ISBI 2017,and HAM 10000.In this work pertained models are used to extract the efficient feature.The pertained models applied are ResNet,InceptionV3,and classical feature extraction techniques.Before that,efficient preprocessing is conducted on dermoscopic images by applying various data augmentation techniques.Further,for classification,convolution neural networks were implemented.To classify dermoscopic images on HAM 1000 Dataset,the maximum attained accuracy is 89.30%for the proposed technique.The other parameters for measuring the performance attained 87.34%(Sen),86.33%(Pre),88.44%(F1-S),and 11.30%false-negative rate(FNR).The class with the highest TP rate is 97.6%for Melanoma;whereas,the lowest TP rate was for the Dermatofibroma class.For dataset ISBI2016,the accuracy achieved is 97.0%with the proposed classifier,whereas the other parameters for validation are 96.12%(Sen),97.01%(Pre),96.3%(F1-S),and further 3.7%(FNR).For the experiment with the ISBI2017 dataset,Sen,Pre,F1-S,and FNR were 93.9%,94.9%,93.9%,and 5.2%,respectively.
文摘BACKGROUND Bowen’s disease (BD) is a persistent, progressive intraepidermal carcinoma. BD usually occurs in areas exposed to sunlight. Involvement of the dorsum of the hand is not rare, but that of the palmar aspect is very unusual. Only a few cases have been reported in the literature. CASE SUMMARY Here, we report the case of a 48-year-old male patient who presented with a history of persistent local erythema lasting for 2 years on the thenar eminence of the left palm. Initially diagnosed as hand eczema, the condition did not improve with intermittent treatment with anti-allergy medications or topical glucocorticoid ointments, among other approaches. Then, the area of erythema gradually enlarged and was accompanied by mild itching. For a definite diagnosis and treatment, the patient came to our hospital. Dermoscopic examination revealed BD, and histopathological examination confirmed the diagnosis. We performed partial resection of the skin lesion followed by photodynamic therapy. No recurrence was observed at the 6-mo follow-up. CONCLUSION For all atypical palmar lesions, early dermoscopy and/or skin biopsy are needed to avoid missed diagnosis or misdiagnosis.
文摘Infantile hemangioma is clinically classified as superficial, superficial and deep (mixed), and deep. Dermoscopy can be used for analyzing vascular structure and for classifying infantile hemangioma. Here, we focus on vascular features of the superficial and deep type of infantile hemangioma and show the three characteristic dermoscopic forms, mostly reddish, diffuse reddish, and cerebriform reddish.
文摘Atypical fibroxanthoma(AFX) is a spindle cell neoplasm with low metastatic potential but high tendency to recur after surgery. Because of the rarity of this lesion and its aspecific clinical features, AFX could be easily misdiagnosed and undertreated by many clinicians who encounter them. Dermoscopy represents a valuable tool for easily assessing skin lesions, even though histological examination is required for final diagnosis. We report a case of a cheek lesion with dermoscopic "blue amber pattern", easily recognisable and not observed in others skin tumours, which could represent an additional feature useful in differentiating this tumour from other skin neoplasms.
基金Supported by The National Natural Scientific Foundation of China,No.81570978the Nonprofit Industry Research Specific Fund of National Health and Family Planning Commission of China,No.201502018+1 种基金the Key Project of Science and Technology Department of Jiangsu Province,No.BL2014018the Project of Invigorating Health Care through Science,Technology and Education:the Project of Jiangsu Provincial Medical Youth Talent,No.QNRC2016118
文摘Labial and oral melanotic macules are commonly encountered in a broad range of conditions ranging from physiologic pigmentation to a sign of an underlying life-threatening disease. Although Laugier-Hunziker syndrome(LHS) shares some features of labial and oral pigmentation with a variety of conditions, it is a benign and acquired condition, frequently associated with longitudinal melanonychia. Herein, the demographic, clinical, dermoscopic, and pathological aspects of LHS were reviewed comprehensively. The important differential diagnoses of mucocutaneous and nail pigmentation are provided. An accurate diagnosis is crucial to design a reasonable medical strategy, including management options, malignant transformation surveillance, and psychological support. It is important that clinicians conduct long-term follow-up and surveillance due to the potential risks of malignant transformation and local severe complications in some conditions.
基金supported by the MSIT (Ministry of Science and ICT),Korea,under the ICAN (ICT Challenge and Advanced Network of HRD)program (IITP-2022-2020-0-01832)supervised by the IITP (Institute of Information&Communications Technology Planning&Evaluation)and the Soonchunhyang University Research Fund.
文摘Melanoma is a skin disease with high mortality rate while earlydiagnoses of the disease can increase the survival chances of patients. Itis challenging to automatically diagnose melanoma from dermoscopic skinsamples. Computer-Aided Diagnostic (CAD) tool saves time and effort indiagnosing melanoma compared to existing medical approaches. In this background,there is a need exists to design an automated classification modelfor melanoma that can utilize deep and rich feature datasets of an imagefor disease classification. The current study develops an Intelligent ArithmeticOptimization with Ensemble Deep Transfer Learning Based MelanomaClassification (IAOEDTT-MC) model. The proposed IAOEDTT-MC modelfocuses on identification and classification of melanoma from dermoscopicimages. To accomplish this, IAOEDTT-MC model applies image preprocessingat the initial stage in which Gabor Filtering (GF) technique is utilized.In addition, U-Net segmentation approach is employed to segment the lesionregions in dermoscopic images. Besides, an ensemble of DL models includingResNet50 and ElasticNet models is applied in this study. Moreover, AOalgorithm with Gated Recurrent Unit (GRU) method is utilized for identificationand classification of melanoma. The proposed IAOEDTT-MC methodwas experimentally validated with the help of benchmark datasets and theproposed model attained maximum accuracy of 92.09% on ISIC 2017 dataset.
基金Supported by Jiangsu Postgraduate Research Program,No.SJCX23_2102Clinical and Virology Study of 2019-ncov Infection in Patients with Moderate to Severe Psoriasis,No.Jdfyxgzx005。
文摘BACKGROUND This paper presents a case of malignant hidroacanthoma simplex(HAS)and review the literature of previous cases to summarize the histopathological and immunohistochemical features and display the dermoscopic features of malignant HAS.CASE SUMMARY We present an 88-year-old Asian female with malignant HAS.The diagnosis was made according to the histopathological and immunohistochemical results after biopsy.Previous case reports of malignant HAS were retrieved from PubMed to characterize the histopathological and immunohistochemical features.We also display the dermoscopic features of malignant HAS that have not been reported.CONCLUSION Our findings demonstrate that prompt surgical treatment is an effective strategy for malignant HAS.Histopathology and immunohistochemistry are valuable diagnostic tools.This is the first case report to display the dermoscopic features of malignant HAS,and we speculate that dermoscopy may contribute to the diagnosis of malignant HAS.
文摘Background: Spitz nevus is uncommon, benign melanocytic neoplasm that may show some clinical, dermoscopical and histological features of melanoma. It occurs often in childhood, but may appear also in early adulthood. Rare congenital cases have been reported in literature. It is frequently located on the face and the lower extremities, but in some cases may appears on the trunk. Methods: We report a case of a 9-years-old girl presented to our Dermatology Unit because of the presence of a pigmented lesion on her right leg, 4 mm in diameter, which was clinically and dermoscopically diagnosed as Spitz nevus. We described the clinical and dermoscopic features that we observed every six months, over 11 years follow-up period. Objective: Our observation show that the globular, the starburst, the homogeneous patterns and diffuse brown colour with diffuse hypopigmented areas may be the different expression that correspond to possible evolutionary phases of pigmented Spitz nevus.
