Abstract: Semi-supervised learning (SSL) addresses the scarcity of annotated data in medical image segmentation by leveraging unlabeled samples to enhance model training. Currently, some methods ...
Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...