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Achieving over 5% improvement in ovarian segmentation accuracy by leveraging cross-modal insights from TVUS and MRI could redefine standards in medical imaging for endometriosis.
Forget simple averaging: this entropy-adaptive model merging strategy unlocks robust performance in medical imaging by intelligently combining models trained on diverse, private clinical datasets.
