Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning
Ariadna Jiménez-Partinen,
Karl Thurnhofer-Hemsi,
Jorge Rodríguez-Capitán
et al.
Abstract:Invasive Coronary Angiography (ICA) images are considered the gold standard for assessing the state of the coronary arteries. Deep learning classification methods are widely used and well-developed in different areas where medical imaging evaluation has an essential impact due to the development of computer-aided diagnosis systems that can support physicians in their clinical procedures. In this paper, a new performance analysis of deep learning methods for binary ICA classification with different lesion degre… Show more
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