Volume Fusion-Based Self-Supervised Pretraining for 3D Medical Image Segmentation
The performance of deep learning models for medical image segmentation is often limited in scenarios where training data or annotations are limited. Self-Supervised Learning (SSL) is an appealing solution for this dilemma due to its feature learning ability from a large amount of unannotated images....
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 15., Seite 6041-6052
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| Auteur principal: |
Wang, Guotai
(Auteur) |
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| Autres auteurs: |
Fu, Jia,
Wu, Jianghao,
Luo, Xiangde,
Zhou, Yubo,
Liu, Xinglong,
Li, Kang,
Lin, Jingsheng,
Shen, Baiyong,
Zhang, Shaoting |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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