DMAF-Net improves incomplete multi-modal MRI segmentation by dynamically masking missing modalities, aligning uni-modal and fused features through covariance, attention, and prototype losses, and reweighting training via distillation gaps.
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DMAF-Net: An Effective Modality Rebalancing Framework for Incomplete Multi-Modal Medical Image Segmentation
DMAF-Net improves incomplete multi-modal MRI segmentation by dynamically masking missing modalities, aligning uni-modal and fused features through covariance, attention, and prototype losses, and reweighting training via distillation gaps.