AI RESEARCH
Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI
arXiv CS.CV
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ArXi:2604.08015v1 Announce Type: new We propose a unified objective function, termed CATMIL, that augments the base segmentation loss with two auxiliary supervision terms operating at different levels. The first term, Component-Adaptive Tversky, reweights voxel contributions based on connected components to balance the influence of lesions of different sizes. The second term, based on Multiple Instance Learning,