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
Hauptverfasser: He, Along, Li, Tao, Yan, Juncheng, Wang, Kai, Fu, Huazhu
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Sprache:eng
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