In recent years, deep convolutional neural networks have shown superior performance in image denoising. However, deep network structures often come with a large number of model parameters, leading to high training cos...In recent years, deep convolutional neural networks have shown superior performance in image denoising. However, deep network structures often come with a large number of model parameters, leading to high training costs and long inference times, limiting their practical application in denoising tasks. This paper proposes a new dual convolutional denoising network with skip connections(DECDNet), which achieves an ideal balance between denoising effect and network complexity. The proposed DECDNet consists of a noise estimation network, a multi-scale feature extraction network, a dual convolutional neural network, and dual attention mechanisms. The noise estimation network is used to estimate the noise level map, and the multi-scale feature extraction network is combined to improve the model's flexibility in obtaining image features. The dual convolutional neural network branch design includes convolution and dilated convolution interactive connections, with the lower branch consisting of dilated convolution layers, and both branches using skip connections. Experiments show that compared with other models, the proposed DECDNet achieves superior PSNR and SSIM values at all compared noise levels, especially at higher noise levels, showing robustness to images with higher noise levels. It also demonstrates better visual effects, maintaining a balance between denoising and detail preservation.展开更多
Colorectal cancer(CRC)is a prevalent malignant tumor,with the global new cases reaching 1.9316 million and deaths reaching 935,200 in 2022.In China,therewere 555,500 new cases of CRC,with an age-standardized incidence...Colorectal cancer(CRC)is a prevalent malignant tumor,with the global new cases reaching 1.9316 million and deaths reaching 935,200 in 2022.In China,therewere 555,500 new cases of CRC,with an age-standardized incidence rate of 24.07 per 10million,and 286,200 deaths.China accounts for approximately 30%of new cases and deaths from CRC worldwide,with East Asia accounting for over 75%.Initially,CRC presents as local tumor growth,but it has the potential to spread to other body parts over time.Perineural infiltration(PNI)is a relatively less discussed route of diffusion,yet it plays a crucial role in the progression and prognosis of CRC.PNI often occurs alongside local lymph nodes and distant metastases,posing challenges for treatment and management.Clinical symptoms,radiographic findings,and histopathological examination can be used to diagnose PNI with skipmetastasis.Symptoms commonly include local pain,paresthesia,andmotor impairment.Imaging helps identify the mass’s location and relationship to nerves,whereas histopathological examination confirms the diagnosis.Treatment of PNI skipmetastases is similar to other CRC metastases,including surgical resection,chemotherapy,radiotherapy,and targeted therapy.Surgical resection is the primary therapeutic approach,but the wider range of metastasis in PNI skip transfer may limit its feasibility.In cases where surgical resection is not possible,chemotherapy,radiotherapy,and targeted therapy are used to control tumor metastasis.In conclusion,PNI skip metastases increase the risk of poor prognosis for CRC,requiring a comprehensive approach with multiple treatments to prevent disease progression.Early detection and treatment are vital to improving prognosis.展开更多
Circuit design of 32 bit logarithmic skip adder (LSA) is introduced to implement high performance,low power addition.ELM carry lookahead adder is included into groups of carry skip adder and the hybrid structure cost...Circuit design of 32 bit logarithmic skip adder (LSA) is introduced to implement high performance,low power addition.ELM carry lookahead adder is included into groups of carry skip adder and the hybrid structure costs 30% less hardware than ELM.At circuit level,a carry incorporating structure to include the primary carry input in carry chain and an 'and xor' structure to implement final sum logic in 32 bit LSA are designed for better optimization.For 5V,1μm process,32 bit LSA has a critical delay of 5 9ns and costs an area of 0 62mm 2,power consumption of 23mW at 100MHz.For 2 5V,0 25μm process,critical delay of 0 8ns,power dissipation of 5 2mW at 100MHz is simulated.展开更多
基金funded by National Nature Science Foundation of China,grant number 61302188。
文摘In recent years, deep convolutional neural networks have shown superior performance in image denoising. However, deep network structures often come with a large number of model parameters, leading to high training costs and long inference times, limiting their practical application in denoising tasks. This paper proposes a new dual convolutional denoising network with skip connections(DECDNet), which achieves an ideal balance between denoising effect and network complexity. The proposed DECDNet consists of a noise estimation network, a multi-scale feature extraction network, a dual convolutional neural network, and dual attention mechanisms. The noise estimation network is used to estimate the noise level map, and the multi-scale feature extraction network is combined to improve the model's flexibility in obtaining image features. The dual convolutional neural network branch design includes convolution and dilated convolution interactive connections, with the lower branch consisting of dilated convolution layers, and both branches using skip connections. Experiments show that compared with other models, the proposed DECDNet achieves superior PSNR and SSIM values at all compared noise levels, especially at higher noise levels, showing robustness to images with higher noise levels. It also demonstrates better visual effects, maintaining a balance between denoising and detail preservation.
文摘Colorectal cancer(CRC)is a prevalent malignant tumor,with the global new cases reaching 1.9316 million and deaths reaching 935,200 in 2022.In China,therewere 555,500 new cases of CRC,with an age-standardized incidence rate of 24.07 per 10million,and 286,200 deaths.China accounts for approximately 30%of new cases and deaths from CRC worldwide,with East Asia accounting for over 75%.Initially,CRC presents as local tumor growth,but it has the potential to spread to other body parts over time.Perineural infiltration(PNI)is a relatively less discussed route of diffusion,yet it plays a crucial role in the progression and prognosis of CRC.PNI often occurs alongside local lymph nodes and distant metastases,posing challenges for treatment and management.Clinical symptoms,radiographic findings,and histopathological examination can be used to diagnose PNI with skipmetastasis.Symptoms commonly include local pain,paresthesia,andmotor impairment.Imaging helps identify the mass’s location and relationship to nerves,whereas histopathological examination confirms the diagnosis.Treatment of PNI skipmetastases is similar to other CRC metastases,including surgical resection,chemotherapy,radiotherapy,and targeted therapy.Surgical resection is the primary therapeutic approach,but the wider range of metastasis in PNI skip transfer may limit its feasibility.In cases where surgical resection is not possible,chemotherapy,radiotherapy,and targeted therapy are used to control tumor metastasis.In conclusion,PNI skip metastases increase the risk of poor prognosis for CRC,requiring a comprehensive approach with multiple treatments to prevent disease progression.Early detection and treatment are vital to improving prognosis.
文摘Circuit design of 32 bit logarithmic skip adder (LSA) is introduced to implement high performance,low power addition.ELM carry lookahead adder is included into groups of carry skip adder and the hybrid structure costs 30% less hardware than ELM.At circuit level,a carry incorporating structure to include the primary carry input in carry chain and an 'and xor' structure to implement final sum logic in 32 bit LSA are designed for better optimization.For 5V,1μm process,32 bit LSA has a critical delay of 5 9ns and costs an area of 0 62mm 2,power consumption of 23mW at 100MHz.For 2 5V,0 25μm process,critical delay of 0 8ns,power dissipation of 5 2mW at 100MHz is simulated.
