A dual-branch mutual-learning framework with SAM-based semantic refinement improves brain tumor segmentation accuracy under all missing-modality combinations on three BraTS datasets.
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Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
A dual-branch mutual-learning framework with SAM-based semantic refinement improves brain tumor segmentation accuracy under all missing-modality combinations on three BraTS datasets.