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A review of the application of deep learning in medical image classification and segmentation
Cai, Lei1; Gao, Jingyang1; Zhao, Di2
2020-06-01
发表期刊ANNALS OF TRANSLATIONAL MEDICINE
ISSN2305-5839
卷号8期号:11页码:15
摘要Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical and computer researchers, and intelligent imaging and deep learning provide a good answer. This review introduces the application of intelligent imaging and deep learning in the field of big data analysis and early diagnosis of diseases, combining the latest research progress of big data analysis of medical images and the work of our team in the field of big data analysis of medical imagec, especially the classification and segmentation of medical images.
关键词Big medical data deep learning classification segmentation object detection
DOI10.21037/atm.2020.02.44
收录类别SCI
语种英语
WOS研究方向Oncology ; Research & Experimental Medicine
WOS类目Oncology ; Medicine, Research & Experimental
WOS记录号WOS:000541834200053
出版者AME PUBL CO
引用统计
被引频次:245[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/15177
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Gao, Jingyang; Zhao, Di
作者单位1.Beijing Univ Chem Technol, Coll Informat Engn & Technol, 15 East North Third Ring Rd, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
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GB/T 7714
Cai, Lei,Gao, Jingyang,Zhao, Di. A review of the application of deep learning in medical image classification and segmentation[J]. ANNALS OF TRANSLATIONAL MEDICINE,2020,8(11):15.
APA Cai, Lei,Gao, Jingyang,&Zhao, Di.(2020).A review of the application of deep learning in medical image classification and segmentation.ANNALS OF TRANSLATIONAL MEDICINE,8(11),15.
MLA Cai, Lei,et al."A review of the application of deep learning in medical image classification and segmentation".ANNALS OF TRANSLATIONAL MEDICINE 8.11(2020):15.
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