Semi-supervised Medical Image Segmentation via Perturbation-Aware Mutual Learning and Edge-Aware Uncertainty Loss for Accurate Anatomical Delineation
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Accurate segmentation of medical volumes in magnetic resonance imaging is essential for the exploration of organ structures. Despite the impressive performance of supervised learning in medical image segmentation, its reliance on the large availability of labe... ...
