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.
An image is worth 16x16 words: Transformers for image recognition at scale, in: 9th International Conference on Learning Representations, ICLR
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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.