Deep reinforcement learning in medical imaging: A literature review
文献类型：期刊论文
| 作者 | Zhou, S. Kevin2,3,4; Le, Hoang Ngan5; Luu, Khoa5; Nguyen, Hien, V6; Ayache, Nicholas1 |
| 刊名 | MEDICAL IMAGE ANALYSIS
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 73页码:20 |
| 关键词 | Deep reinforcement learning Medical imaging Survey |
| ISSN号 | 1361-8415 |
| DOI | 10.1016/j.media.2021.102193 |
| 英文摘要 | 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. |
| 资助项目 | National Science Foundation[1910973] |
| WOS研究方向 | Computer Science ; Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| WOS记录号 | WOS:000697034300005 |
| 出版者 | ELSEVIER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/17212]  |
| 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.Sophia Antipolis Mediterranean Ctr, INRIA, Valbonne, France 2.Univ Sci & Technol China, Sch Biomed Engn, Med Imaging Robot & Analyt Comp Lab & Enigineerin, Hefei, Peoples R China 3.Univ Sci & Technol China, Suzhou Inst Adv Res, Hefei, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc Chinese Acad Sc, Beijing, Peoples R China 5.Univ Arkansas, CSCE Dept, Fayetteville, AR 72701 USA 6.Univ Houston, ECE Dept, Houston, TX 77004 USA |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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