Coronary artery disease is the most frequent type of heart disease caused by an abnormal
narrowing of coronary arteries, also called stenosis or atherosclerosis. It is also the leading …

Background The automatic detection of coronary artery stenosis on X-ray images is
important in coronary heart disease diagnosis. Conventional methods cannot accurately …

Abstract Background and Objective: Automatic detection of stenosis on X-ray Coronary
Angiography (XCA) images may help diagnose early coronary artery disease. Stenosis is …

Deep learning methods, particularly Convolutional Neural Networks, have been successfully
applied in medical imaging. Robust stenosis detection in X-ray coronary angiography …

Objective Coronary artery disease (CAD) is a debilitating condition that can lead to
myocardial infarction (MI). Exosomal miRNAs (exo‐miRNA) can be diagnostic biomarkers …

In this paper, a novel strategy to perform high-dimensional feature selection using an
evolutionary algorithm for the automatic classification of coronary stenosis is introduced. The …

The automatic detection of coronary stenosis is a very important task in computer aided
diagnosis systems in the cardiology area. The main contribution of this paper is the …

Coronary heart disease is the primary cause of death worldwide. Among these, ischemic
heart disease and stroke are the most common diseases induced by coronary stenosis. This …

In this paper, a novel method for the automatic classification of coronary stenosis based on a
feature selection strategy driven by a hybrid evolutionary algorithm is proposed. The main …

A novel medical diagnosis system is proposed to predict the prevalence of Coronary Artery
Disease (CAD) using the inherent mathematical capabilities of Multi Criteria Decision …