Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray im...Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray images of different races model can have better adaptability,we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA.In this study,a lightweight feature extractor(LFE)is designed to obtain the featuremaps fromradiographs,and amodule called attention erasermodule(AEM)is proposed to capture the fine-grained features.Meanwhile,the dimensional information of the metacarpal parts in the radiographs is measured to enhance the model’s generalization capability across images fromdifferent races.Ourmodel is trained and validated on the RSNA,RHPE,and digital hand atlas datasets,which include images from various racial groups.The model achieves a mean absolute error(MAE)of 4.42 months on the RSNA dataset and 15.98 months on the RHPE dataset.Compared to ResNet50,InceptionV3,and several state-of-the-art methods,our proposed method shows statistically significant improvements(p<0.05),with a reduction in MAE by 0.2±0.02 years across different racial datasets.Furthermore,t-tests on the features also confirm the statistical significance of our approach(p<0.05).展开更多
ERAS(Enhanced Recovery After Surgery)是加速术后康复或快速康复外科的缩写,是以患者为中心的新型康复理念,它通过优化外科诊疗全流程措施,减少患者生理和心理应激,助力术后快速康复。不少人秉持“术后卧床静养”“大补营养”等传统认...ERAS(Enhanced Recovery After Surgery)是加速术后康复或快速康复外科的缩写,是以患者为中心的新型康复理念,它通过优化外科诊疗全流程措施,减少患者生理和心理应激,助力术后快速康复。不少人秉持“术后卧床静养”“大补营养”等传统认知,使康复周期变长。ERAS以“减少应激、促进恢复”为要义,将术前、术中、术后的优化措施有机整合,降低手术对身体的创伤刺激,助力器官功能尽快复原。其优势众多,能大幅缩短住院时间,降低感染等并发症发生率,节省医疗费用,提升康复体验,让患者术后疼痛少、恢复快且心态积极。患者作为康复“主动者”,要与医护携手积极践行ERAS。展开更多
基金supported by the grant from the National Natural Science Foundation of China(No.72071019)grant from the Natural Science Foundation of Chongqing(No.cstc2021jcyj-msxmX0185).
文摘Bone age assessment(BAA)aims to determine whether a child’s growth and development are normal concerning their chronological age.To predict bone age more accurately based on radiographs,and for the left-hand X-ray images of different races model can have better adaptability,we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA.In this study,a lightweight feature extractor(LFE)is designed to obtain the featuremaps fromradiographs,and amodule called attention erasermodule(AEM)is proposed to capture the fine-grained features.Meanwhile,the dimensional information of the metacarpal parts in the radiographs is measured to enhance the model’s generalization capability across images fromdifferent races.Ourmodel is trained and validated on the RSNA,RHPE,and digital hand atlas datasets,which include images from various racial groups.The model achieves a mean absolute error(MAE)of 4.42 months on the RSNA dataset and 15.98 months on the RHPE dataset.Compared to ResNet50,InceptionV3,and several state-of-the-art methods,our proposed method shows statistically significant improvements(p<0.05),with a reduction in MAE by 0.2±0.02 years across different racial datasets.Furthermore,t-tests on the features also confirm the statistical significance of our approach(p<0.05).
文摘ERAS(Enhanced Recovery After Surgery)是加速术后康复或快速康复外科的缩写,是以患者为中心的新型康复理念,它通过优化外科诊疗全流程措施,减少患者生理和心理应激,助力术后快速康复。不少人秉持“术后卧床静养”“大补营养”等传统认知,使康复周期变长。ERAS以“减少应激、促进恢复”为要义,将术前、术中、术后的优化措施有机整合,降低手术对身体的创伤刺激,助力器官功能尽快复原。其优势众多,能大幅缩短住院时间,降低感染等并发症发生率,节省医疗费用,提升康复体验,让患者术后疼痛少、恢复快且心态积极。患者作为康复“主动者”,要与医护携手积极践行ERAS。
