RT Conference Proceedings
T1 Stenosis detection in coronary angiography images using deep learning models
A1 Luque-Baena, Rafael Marcos
A1 Romero Granados, Irene
A1 Jiménez-Partinen, Ariadna
A1 Palomo-Ferrer, Esteban José
K1 Procesado de imágenes
K1 Aprendizaje automático (Inteligencia artificial)
K1 Inteligencia artificial
AB The emergence of deep learning has caused itsmassive application to different fields in industry and research,among which is the clinical field, especially in those wherethe data is structured in the form of images or video. Thepresent proposal intends to develop a coronary angiographyimage analysis system based on artificial intelligence. Theseimages are radiocontrast X-ray images of the coronary arteries.The proposed system will be able to analyze these coronaryangiography images of patients with no obstructive coronarylesions to detect and characterize smooth and irregular coronaryarteries and predict the presence of cardiovascular events duringfollow-up. Deep learning convolutional artificial neural networkswill support the algorithmic basis of the proposed system.
YR 2022
FD 2022
LK https://hdl.handle.net/10630/25391
UL https://hdl.handle.net/10630/25391
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026