AI RESEARCH
Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation
arXiv CS.CV
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ArXi:2603.21829v1 Announce Type: new Accurate segmentation of coronary arteries from computed tomography angiography (CTA) images is of paramount clinical importance for the diagnosis and treatment planning of cardiovascular diseases. However, coronary artery segmentation remains challenging due to the inherent multi-branching and slender tubular morphology of the vasculature, compounded by severe class imbalance between foreground vessels and background tissue.