arXiv Computer Vision August 26, 2026 By Lin Xi, Yingliang Ma

MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography

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Hugging Face Trending Papers

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HTC-SGA Former: A Hybrid Transformer-CNN Network with Self-Guided Attention and a New Boundary-Weighted Adaptive Loss for Coronary DSA Vessel Segmentation

Accurate coronary Digital Subtraction Angiography (DSA) vessel segmentation is essential for computer-aided diagnosis and treatment planning of coronary artery disease (CAD). However, thin low-contrast vessels, background interference, and severe vessel-background class imbalance make reliable segmentation of weak distal branches and vessel boundaries challenging.

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arXiv Computer Vision

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UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture

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CARDIAG: A Dense Segment Classification Benchmark of Deep Learning Architectures for Coronary Angiography

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HTC-SGA Former: A Hybrid Transformer-CNN Network with Self-Guided Attention and a New Boundary-Weighted Adaptive Loss for Coronary DSA Vessel Segmentation

UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture

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