Detecting Cardiovascular Disease from mammograms with deep learning - MATLAB PROJECTS CODE


Our goal is to improve the precision for early detection and treatment of cardiovascular disease by identifying markers for early disease and the response to therapy. The traditional approach to cardiovascular disease prevention involves identifying risk factors that are statistically but not necessarily biologically related to disease. Health care expenditures are overwhelming national and corporate budgets, predominantly because of the escalating costs of advanced disease. Therefore there is an urgent need for early detection and treatment of asymptomatic cardiovascular disease.