Our Projects

This project addresses the challenge of accurate coronary heart disease (CHD) diagnosis from X-ray coronary angiograms, where manual interpretation can suffer from observer variability and limited reproducibility. The study aims to support machine-learning and data-mining research by providing an annotated dataset for automated angiogram interpretation and coronary stenosis estimation. The dataset contains 231 coronary angiography X-ray images from 231 patients…