Abstract: Medical image segmentation is a critical yet challenging task due to the intricate anatomical structures, low contrast, and high noise levels inherent in medical images. Leveraging the ...
Abstract: Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image segmentation, aiming to alleviate the scarcity of high-quality annotations by combining limited labeled ...
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