arXiv Computer Vision September 15, 2026 By Wanxian Li, Jiaqian Qin, Qingyi Xian, Yazhi Li, Song Chen, Liman Li, Hao He

BSC-Net: A Small-Branch-Sensitive Structural Continuity Network for Coronary Vessel Segmentation and Quantitative Angiographic Analysis

Read the original on arXiv Computer Vision →

The Flow has not summarised this story yet — read it at arXiv Computer Vision.

arXiv Computer Vision

Sep 2

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

arXiv:2609.01598v1 Announce Type: new Abstract: Accurate segmentation of vascular structures in digital subtraction angiography (DSA) images remains challenging due to the thin, elongated, and branch...

By Asees Kaur, Suzanne S. Sindi, Erica M. Rutter

computer-vision

arXiv Machine Learning

Jul 28

Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures

arXiv:2406. 13128v2 Announce Type: replace-cross Abstract: Due to the intricate structure of vascular trees, minor segmentation errors can significantly alter connectivity patterns and increase variability in extracted morphological properties.

By Jo\~ao Pedro Parella, Matheus Viana da Silva, Cesar Henrique Comin

computer-vision benchmarks

Hugging Face Trending Papers

Jun 29

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.

llms computer-vision benchmarks

arXiv AI

Jun 16

Leptomeningeal Collateral Detection on DSA via Vessel-Graph Neural Networks

arXiv:2606. 14828v1 Announce Type: cross Abstract: Leptomeningeal collaterals (LMCs) are an important prognostic factor in acute ischemic stroke.

By Junyong Cao, Hakim Baazaoui, Chinmay Prabhakar, Suprosanna Shit, Lukas Bastian Otto, Susanne Wegener, Bjoern Menze, Ezequiel de la Rosa

arXiv AI

Sep 1

ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography

arXiv:2608.30404v1 Announce Type: cross Abstract: Accurate segmentation of the coronary vessel lumen is a prerequisite for quantitative assessment of atherosclerotic plaque and perivascular adipose t...

By Kit M. Bransby, Esther {\O}ksnebjerg, Kristoffer Kj{\ae}r, Jacob Kirkeby, Yasmin El Youssef, A\"ida Jim\'enez, Philip R. Pedersson, Martina C. de Knegt, Klaus F. Kofoed, Rasmus R. Paulsen

computer-vision benchmarks

arXiv Computer Vision

Aug 26

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

arXiv:2608.24783v1 Announce Type: new Abstract: Accurate segmentation of coronary arteries in X-ray angiography videos is essential for quantitative coronary analysis and image-guided interventions....

By Lin Xi, Yingliang Ma

llms computer-vision