VesselRW expands sparse vessel annotations into dense probabilistic supervision via a jointly trained differentiable random walk model with uncertainty weighting and topology regularization for CNN-based subcutaneous vessel segmentation.
IEEE Transactions on Image Processing30, 832–844 (2021)
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VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation
VesselRW expands sparse vessel annotations into dense probabilistic supervision via a jointly trained differentiable random walk model with uncertainty weighting and topology regularization for CNN-based subcutaneous vessel segmentation.