CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram

Researchers developed CASR-Net, a deep learning pipeline for automated coronary artery segmentation in X-ray angiograms that combines image preprocessing, UNet-based segmentation, and refinement stages. The system achieved superior performance with 61.43% IoU and 76.10% DSC on public datasets, potentially improving clinical diagnosis of coronary artery disease.