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Achieving a Dice score of 0.6796, AsymFeX outperforms existing methods by effectively utilizing brain symmetry for accurate stroke lesion segmentation across imaging modalities.
Achieving near fully supervised accuracy in tumor segmentation using only image-level labels, even in the presence of client-specific missing modalities, is a game changer for federated learning in healthcare.
Achieving up to 36.90% reduction in false positive rates, MARVEL transforms OOD detection for clinical AI systems by effectively addressing data imbalance and unseen cases.
