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cs.CV2025
Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation
Wei Li, Pengcheng Zhou, Linye Ma +3
Both limited annotation and domain shift are significant challenges frequently encountered in medical image segmentation, leading to derivative scenarios like semi-supervised medic…
cs.CV2023
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
Wei Li, Ruifeng Bian, Wenyi Zhao +2
Semi-supervised medical image segmentation (SSMIS) has witnessed substantial advancements by leveraging limited labeled data and abundant unlabeled data. Nevertheless, existing sta…