According to research, characteristics taken from ultrasound imaging may help with
atherosclerosis diagnosis and decision-making. Atherosclerosis is estimated by parameters …

Background and objective Percutaneous coronary interventional procedures need advance
planning prior to stenting or an endarterectomy. Cardiologists use intravascular ultrasound …

Stroke is one of the prominent causes of death in the recent days. The existence of
susceptible plaque in the carotid artery can be used in ascertaining the possibilities of …

Coronary Artery Disease (CAD) prediction is a very hard and challenging task in the medical
field. The early prediction in the medical field especially the cardiovascular sector is one of …

Objective The incidence of cardiovascular diseases (CVD) is rising rapidly worldwide. Some
forms of CVD, such as stroke and heart attack, are more common among patients with …

Motivation Machine learning (ML)-based stroke risk stratification systems have typically
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …

The objective of this work is to develop and implement a medical decision-making system for
an automated diagnosis and classification of ultrasound carotid artery images. The …

Abstract The diagnosis of Coronary Artery Disease (CAD), Myocardial Infarction (MI) and
carotid atherosclerosis is of paramount importance, as these cardiovascular diseases may …

Cardiovascular disease serves as the leading cause of death worldwide. Calcification
detection is considered an important factor in cardiovascular diseases. Currently, medical …

Interventional cardiologists have a deep interest in risk stratification prior to stenting and
percutaneous coronary intervention (PCI) procedures. Intravascular ultrasound (IVUS) is …