Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation
Massive high-quality annotated data is required by fully-supervised learning, which is difficult to obtain for image segmentation since the pixel-level annotation is expensive, especially for medical image segmentation tasks that need domain knowledge. As an alternative solution, semi-supervised lea...
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Veröffentlicht in: | IEEE transactions on medical imaging 2024-05, Vol.43 (5), p.1715-1726 |
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