VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation

ArXi:2508.06819v3 Announce Type: replace The task of parsing subcutaneous vessels in clinical images is often hindered by the high cost and limited availability of ground truth data, as well as the challenge of low contrast and noisy vessel appearances across different patients and imaging modalities. In this work, we propose a novel weakly supervised