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Mind the Gap: Mesh-Guided Repair of Broken Vessels
Vessel segmentation is commonly optimized as voxel-wise classification, but small local errors can strongly disrupt vascular connectivity while having little effect on overlap scores. This is particularly problematic for downstream analyses that rely on centerlines, branches, connected components, or graph structure. We propose a mesh-guided post-processing framework for repairing broken vessel segmentations produced by nnU-Net. For each predicted binary mask, a deformable template mesh is fitted to the mask surface in physical space and used as a case-specific geometric scaffold. The fitted m
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- arXiv · AI, language, vision and robotics · 2026-09-24T13:22:19.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.