Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning

no code implementations • 1 Feb 2024 • Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos

In this paper, a new performance analysis of deep learning methods for binary ICA classification with different lesion degrees is reported.

Binary Classification Classification +2

CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography

no code implementations • 1 Feb 2024 • Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro

In addition, baseline classification methods are proposed and analyzed, validating the functionality of CADICA and giving the scientific community a starting point to improve CAD detection.

Classification Image Classification +1