Presents COMMA, a coordinate-aware Mamba network for 3D vessel segmentation that uses global and local branches, along with a new 570-case labeled dataset.
arXiv preprint arXiv:2304.03708 (2023)
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VAEsselSparse applies sparse convolutions and attention in a VAE to achieve 8x8x8 spatial compression of organ-scale vascular data while preserving reconstruction quality and clinically useful features for classification and generation.
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COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation
Presents COMMA, a coordinate-aware Mamba network for 3D vessel segmentation that uses global and local branches, along with a new 570-case labeled dataset.
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Sparse Representation Learning for Vessels
VAEsselSparse applies sparse convolutions and attention in a VAE to achieve 8x8x8 spatial compression of organ-scale vascular data while preserving reconstruction quality and clinically useful features for classification and generation.