AI RESEARCH
Uncertainty-Guided Conservative Propagation for Structured Inference in Vessel Segmentation
arXiv CS.CV
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ArXi:2605.20543v1 Announce Type: new Accurate vessel segmentation is essential for medical image analysis, yet remains challenging due to complex vascular patterns and imaging ambiguity. Most deep models rely on single-pass prediction, limiting their ability to refine uncertain or disconnected regions during inference. To address this limitation, we propose Uncertainty-Guided Conservative Propagation (UGCP), a general plug-in module for vessel segmentation.