Unsupervised Local Discrimination for Medical Images
Contrastive learning, which aims to capture general representation from unlabeled images to initialize the medical analysis models, has been proven effective in alleviating the high demand for expensive annotations. Current methods mainly focus on instance-wise comparisons to learn the global discri...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 08. Dez., Seite 15912-15929
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| 1. Verfasser: |
Chen, Huai
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Renzhen,
Wang, Xiuying,
Li, Jieyu,
Fang, Qu,
Li, Hui,
Bai, Jianhao,
Peng, Qing,
Meng, Deyu,
Wang, Lisheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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