AI RESEARCH
Learning to Look Closer: A New Instance-Wise Loss for Small Cerebral Lesion Segmentation
arXiv CS.CV
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ArXi:2511.17146v3 Announce Type: replace Traditional loss functions in medical image segmentation, such as Dice, often under-segment small lesions because their small relative volume contributes negligibly to the overall loss. To address this, instance-wise loss functions and metrics have been proposed to evaluate segmentation quality on a per-lesion basis. We