Popular GitHub Repositories for Coronary Artery

Deep Vessel Segmentation by Learning Graphical Connectivity

This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease

Fully automatic Common Carotid Artery ultrasound image segmentation using Wind Driven Optimization technique

Predict CHD Risk with Precision: This machine learning model analyzes patient demographics, behaviors, and medical factors to accurately predict the likelihood of developing coronary heart disease within the next 10 years.

RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning