This project proposes the development of a medical diagnosis support system through the characterization of stenosis in coronary angiography images. Nature-inspired image processing methods and models, along with deep learning architectures, are used to facilitate both the detection and assessment of the degree of stenosis.

Researchers: Dr . Jorge Brieva Rico and Dr. Ernesto Moya Albor.