PASC-Net's four-direction bendable strip convolutions and hierarchical topology losses improve vessel segmentation by 1.3 to 2.4 Dice points on the ARCADE and FIVES datasets.
Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques
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PASC-Net:Plug-and-play Shape Self-learning Convolutions Network with Hierarchical Topology Constraints for Vessel Segmentation
PASC-Net's four-direction bendable strip convolutions and hierarchical topology losses improve vessel segmentation by 1.3 to 2.4 Dice points on the ARCADE and FIVES datasets.