Rethinking Copy-Paste for Consistency Learning in Medical Image Segmentation
Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data perturbation technique to facilitate weak-to-strong consistency learning. However, these techniques often lead to a decre...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 04., Seite 1060-1074
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| 1. Verfasser: |
Huang, Senlong
(VerfasserIn) |
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| Weitere Verfasser: |
Ge, Yongxin,
Liu, Dongfang,
Hong, Mingjian,
Zhao, Junhan,
Loui, Alexander C |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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