Deep reinforcement learning in medical imaging: A literature review

doi:10.1016/j.media.2021.102193

	Deep reinforcement learning in medical imaging: A literature review
	Zhou, S. Kevin 1,2,3; Le, Hoang Ngan 4; Luu, Khoa 4; Nguyen, Hien, V 5; Ayache, Nicholas 6
	2021-10-01
发表期刊	MEDICAL IMAGE ANALYSIS
ISSN	1361-8415
卷号	73 页码:20
摘要	Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the representative power of deep neural networks. Recent works have demonstrated the great potential of DRL in medicine and healthcare. This paper presents a literature review of DRL in medical imaging. We start with a comprehensive tutorial of DRL, including the latest model-free and model-based algorithms. We then cover existing DRL applications for medical imaging, which are roughly divided into three main categories: (i) parametric medical image analysis tasks including landmark detection, object/lesion detection, registration, and view plane localization; (ii) solving optimization tasks including hyperparameter tuning, selecting augmentation strategies, and neural architecture search; and (iii) miscellaneous applications including surgical gesture segmentation, personalized mobile health intervention, and computational model personalization. The paper concludes with discussions of future perspectives. (c) 2021 Elsevier B.V. All rights reserved.
关键词	Deep reinforcement learning Medical imaging Survey
DOI	10.1016/j.media.2021.102193
收录类别	SCI
语种	英语
资助项目	National Science Foundation[1910973]
WOS研究方向	Computer Science ; Engineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000697034300005
出版者	ELSEVIER
引用统计	被引频次：94[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/2XEOYT63/17213
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhou, S. Kevin
作者单位	1.Univ Sci & Technol China, Sch Biomed Engn, Med Imaging Robot & Analyt Comp Lab & Enigineerin, Hefei, Peoples R China 2.Univ Sci & Technol China, Suzhou Inst Adv Res, Hefei, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc Chinese Acad Sc, Beijing, Peoples R China 4.Univ Arkansas, CSCE Dept, Fayetteville, AR 72701 USA 5.Univ Houston, ECE Dept, Houston, TX 77004 USA 6.Sophia Antipolis Mediterranean Ctr, INRIA, Valbonne, France
推荐引用方式 GB/T 7714	Zhou, S. Kevin,Le, Hoang Ngan,Luu, Khoa,et al. Deep reinforcement learning in medical imaging: A literature review[J]. MEDICAL IMAGE ANALYSIS,2021,73:20.
APA	Zhou, S. Kevin,Le, Hoang Ngan,Luu, Khoa,Nguyen, Hien, V,&Ayache, Nicholas.(2021).Deep reinforcement learning in medical imaging: A literature review.MEDICAL IMAGE ANALYSIS,73,20.
MLA	Zhou, S. Kevin,et al."Deep reinforcement learning in medical imaging: A literature review".MEDICAL IMAGE ANALYSIS 73(2021):20.