The emergence of deep learning has caused its
massive application to different fields in industry and research,
among which is the clinical field, especially in those where
the data is structured in the form of images or video. The
present proposal intends to develop a coronary angiography
image analysis system based on artificial intelligence. These
images are radiocontrast X-ray images of the coronary arteries.
The proposed system will be able to analyze these coronary
angiography images of patients with no obstructive coronary
lesions to detect and characterize smooth and irregular coronary
arteries and predict the presence of cardiovascular events during
follow-up. Deep learning convolutional artificial neural networks
will support the algorithmic basis of the proposed system.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
