Coronary Angiography

Coronary angiography is a crucial diagnostic procedure for assessing coronary artery disease (CAD), primarily aiming to visualize and quantify the severity of blockages in the heart's arteries. Current research heavily emphasizes automated analysis of angiography images using deep learning, employing architectures like Mask R-CNN, 3D ResNets, and ensemble methods to improve the accuracy and efficiency of stenosis detection and vessel segmentation. These advancements hold significant promise for improving the speed and accuracy of CAD diagnosis, potentially leading to better treatment planning and improved patient outcomes. Furthermore, federated learning approaches are being explored to facilitate collaborative research while maintaining patient privacy.