The carotid artery is a critical blood vessel that supplies blood to the brain, and its health and
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …

Research into machine learning (ML) for clinical vascular analysis, such as those useful for
stroke and coronary artery disease, varies greatly between imaging modalities and vascular …

Cerebrovascular accident due to carotid artery disease is the most common cause of death
in developed countries following heart disease and cancer. For a reliable early detection of …

Background and objective The measurement of carotid intima media thickness (CIMT) in
ultrasound images can be used to detect the presence of atherosclerotic plaques. Usually …

This paper proposes a computer-aided diagnosis tool for the early detection of
atherosclerosis. This pathology is responsible for major cardiovascular diseases, which are …

Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but
the key to prevention is to identify at risk individuals before adverse events. For predicting …

Background and objectives: The detection and delineation of atherosclerotic plaque are
usually manually performed by medical experts on the carotid artery. Evidence suggests that …

Deep learning is a machine learning technique that uses deep neural networks, which are
multilayer neural networks that contain two or more hidden layers. In recent years, deep …

Abstract The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid
Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a …

Carotid artery intima-media thickness (CIMT) is an essential factor in signaling the risk of
cardiovascular diseases, which is commonly evaluated using ultrasound imaging. However …