qimingfan10/SAM-VMNet
This is the official code repository for "Deep learning model for coronary artery segmentation and quantitative stenosis detection in angiographic images", which is accpeted by Medical Physics as a research article!
This project helps medical professionals analyze coronary angiogram images to identify and quantify blockages in coronary arteries. It takes an angiographic image as input, processes it to highlight the arteries, and then measures any narrowing, providing a visual representation with color-coded severity. Cardiologists and radiologists would use this to quickly and accurately assess vessel health.
Use this if you need to precisely segment coronary arteries from angiograms and automatically detect and quantify the severity of arterial stenosis for clinical assessment or research.
Not ideal if you are looking for a solution for other types of medical imaging analysis or require real-time processing within a surgical setting.
Stars
26
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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