AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms

no code implementations • 11 Jan 2023 • Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou

Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD).

Graph Matching

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms

no code implementations • 24 Jun 2022 • Yinghui Meng, Zhenglong Du, Chen Zhao, Minghao Dong, Drew Pienta, Zhihui Xu, Weihua Zhou

A deep learning model U-Net 3+, which incorporates the full-scale skip connections and deep supervisions, was proposed for automatic extraction of coronary arteries from ICAs.

Decision Making Transfer Learning