基于深度学习的人工智能医疗应用与存在的问题
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摘要
阐述了深度学习的发展历史及其优势.以骨科脊柱侧弯支具制作为例,介绍了其在医疗领域的应用现状.提出了深度学习在医疗应用中存在的问题.
The development history and advantages of deep learning are explained. Taking the manufacture of orthopedic spine brace as an example, the application status in the medical field is introduced. The problems of deep learning in medical applications are proposed.
The development history and advantages of deep learning are explained. Taking the manufacture of orthopedic spine brace as an example, the application status in the medical field is introduced. The problems of deep learning in medical applications are proposed.
引文
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[5] 瞿微花,唐震.深度学习在联合超声和钼靶检查乳腺癌中的应用[J].现代肿瘤医学,2019,27(1):144-149.QU W H,TANG Z.The application of deep learning combination with X-ray mammography and ultrasound in the breast carcinoma examination[J].Journal of Modern Oncology,2019,27(1):144-149.
[6] 张坤,李鑫,谢学建,等.基于深度学习的心律失常检测算法研究[J].医疗卫生装备,2018,39(12):6-9,31.ZHANG K,LI X,XIE X J,et al.Study of cardiac arrhythmia detect algorithm based on deep learning[J].Chinese Medical Equipment Journal,2018,39(12):6-9,31.
[7] 张柏雯,林岚,吴水才.深度学习在轻度认知障碍转化与分类中的应用分析[J].医疗卫生装备,2017,38(9):105-111.ZHANG B W,LIN L,WU S C.Application of deep learning to mild cognitive impairment conversion and classification[J].Chinese Medical Equipment Journal,2017,38(9):105-111.
[1] 窦瑞欣.深度学习算法在医学影像学中的应用及研究进展[J].中国医学计算机成像杂志,2018,24(5):369-372.DOU R X.The application and research progress of deep learning in medical imaging[J].Chinese Computed Medical Imaging,2018,24(5):369-372.
[2] 陈诗慧,刘维湘,秦璟,等.基于深度学习和医学图像的癌症计算机辅助分类诊断研究进展[J].生物医学工程学杂志,2017,34(2):314-319.CHEN S H,LIU W X,QIN J,et al.Research progress of computer-aided diagnosis in cancer based on deep learning and medical imaging[J].Journal of Biomedical Engineering,2017,34(2):314-319.
[4] 司莉萍,宣锴,姚伟武.基于膝关节软骨磁共振半定量评分的自动分割与分类评价[J].磁共振成像,2018,9(12):928-935.SIL P,XUAN K,YAO W W.Automatic segmentation and classification evaluation based on semi-quantitative score of magnetic resonance imaging of knee articular cartilage[J].Chinese Journal of Magnetic Resonance Imaging,2018,9(12):928-935.
[5] 瞿微花,唐震.深度学习在联合超声和钼靶检查乳腺癌中的应用[J].现代肿瘤医学,2019,27(1):144-149.QU W H,TANG Z.The application of deep learning combination with X-ray mammography and ultrasound in the breast carcinoma examination[J].Journal of Modern Oncology,2019,27(1):144-149.
[6] 张坤,李鑫,谢学建,等.基于深度学习的心律失常检测算法研究[J].医疗卫生装备,2018,39(12):6-9,31.ZHANG K,LI X,XIE X J,et al.Study of cardiac arrhythmia detect algorithm based on deep learning[J].Chinese Medical Equipment Journal,2018,39(12):6-9,31.
[7] 张柏雯,林岚,吴水才.深度学习在轻度认知障碍转化与分类中的应用分析[J].医疗卫生装备,2017,38(9):105-111.ZHANG B W,LIN L,WU S C.Application of deep learning to mild cognitive impairment conversion and classification[J].Chinese Medical Equipment Journal,2017,38(9):105-111.