Background: We evaluated the accuracy of a deep learning-based automated quantification
algorithm for coronary artery calcium (CAC) based on enhanced ECG-gated coronary CT …

Purpose The purpose of this study was to develop and evaluate an algorithm that can
automatically estimate the amount of coronary artery calcium (CAC) from unenhanced …

Background A coronary artery calcium (CAC) score can provide supplementary information
for predicting the risk of cardiovascular disease (CVD). Although CAC is clinically measured …

Accurate identification and quantification of coronary artery calcification play an import role
in early diagnosis of coronary heart disease and atherosclerosis. In this paper, we have …

The amount of coronary artery calcification (CAC) is a strong and independent predictor of
cardiovascular events. Non-contrast enhanced cardiac CT is considered a reference for …

The amount of coronary artery calcification (CAC) is a strong and independent predictor of
cardiovascular events. CAC is clinically quantified in cardiac calcium scoring CT (CSCT), but …

Background Coronary artery calcification (CAC), often assessed by computed tomography
(CT), is a powerful marker of coronary artery disease that can guide preventive therapies …

Coronary artery calcification (CAC) is a typical marker of the coronary artery disease, which
is one of the biggest causes of mortality in the US This study evaluates the feasibility of using …

In recent decades, the World Health Organization has found an increase in the death rate
due to cardiovascular disease. Calcifications of the coronary arteries are the main sign of …

The measurement of coronary artery calcium scores (CACS) usually requires the manual
input of a human operator to identify and mark calcified coronary lesions in each image …