A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
文献类型：期刊论文
| 作者 | Wei-Chien Wang1; Euijoon Ahn2; Dagan Feng1; Jinman Kim1 |
| 刊名 | Machine Intelligence Research
 |
| 出版日期 | 2023 |
| 卷号 | 20期号:4页码:483-513 |
| 关键词 | Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision |
| ISSN号 | 2731-538X |
| DOI | 10.1007/s11633-022-1406-4 |
| 英文摘要 | Over the last decade, supervised deep learning on manually annotated big data has been progressing significantly on computer vision tasks. But, the application of deep learning in medical image analysis is limited by the scarcity of high-quality annotated medical imaging data. An emerging solution is self-supervised learning (SSL), among which contrastive SSL is the most successful approach to rivalling or outperforming supervised learning. This review investigates several state-of-the-art contrastive SSL algorithms originally on natural images as well as their adaptations for medical images, and concludes by discussing recent advances, current limitations, and future directions in applying contrastive SSL in the medical domain. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/55991]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | 1.Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Computer Science, The University of Sydney, Sydney NSW 2006, Australia 2.College of Science and Engineering, James Cook University, Cairns QLD 4811, Australia |
| 推荐引用方式 GB/T 7714 | Wei-Chien Wang,Euijoon Ahn,Dagan Feng,et al. A Review of Predictive and Contrastive Self-supervised Learning for Medical Images[J]. Machine Intelligence Research,2023,20(4):483-513. |
| APA | Wei-Chien Wang,Euijoon Ahn,Dagan Feng,&Jinman Kim.(2023).A Review of Predictive and Contrastive Self-supervised Learning for Medical Images.Machine Intelligence Research,20(4),483-513. |
| MLA | Wei-Chien Wang,et al."A Review of Predictive and Contrastive Self-supervised Learning for Medical Images".Machine Intelligence Research 20.4(2023):483-513. |
入库方式： OAI收割
来源：自动化研究所
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