DCMamba combines patch-level weak-strong mixing, diverse-scan collaboration, and uncertainty-weighted contrastive learning to improve semi-supervised medical image segmentation.
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Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
DCMamba combines patch-level weak-strong mixing, diverse-scan collaboration, and uncertainty-weighted contrastive learning to improve semi-supervised medical image segmentation.