Recent progress in epicardial and pericardial adipose tissue segmentation and quantification based on deep learning: A systematic review
Epicardial and pericardial adipose tissues (EAT and PAT), which are located around the
heart, have been linked to coronary atherosclerosis, cardiomyopathy, coronary artery …
heart, have been linked to coronary atherosclerosis, cardiomyopathy, coronary artery …
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans
Many studies have shown that epicardial fat is associated with a higher risk of heart
diseases. Accurate epicardial adipose tissue quantification is still an open research issue …
diseases. Accurate epicardial adipose tissue quantification is still an open research issue …
CoreSlicer: a web toolkit for analytic morphomics
L Mullie, J Afilalo - BMC medical imaging, 2019 - Springer
Background Analytic morphomics, or more simply,“morphomics,” refers to the measurement
of specific biomarkers of body composition from medical imaging, most commonly computed …
of specific biomarkers of body composition from medical imaging, most commonly computed …
Automatic epicardial fat segmentation and quantification of CT scans using dual U-Nets with a morphological processing layer
The epicardial fat plays a key role in the development of many cardiovascular diseases. It is
necessary and useful to precisely segment this fat from CT scans in clinical studies …
necessary and useful to precisely segment this fat from CT scans in clinical studies …
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images
Epicardial fat (ECF) is localized fat surrounding the heart muscle or myocardium and
enclosed by the thin-layer pericardium membrane. Segmenting the ECF is one of the most …
enclosed by the thin-layer pericardium membrane. Segmenting the ECF is one of the most …
Robust ellipse fitting via alternating direction method of multipliers
The edge point errors, especially outliers, introduced in the edge detection step, will cause
severe performance degradation in ellipse fitting. To address this problem, we adopt the ℓ p …
severe performance degradation in ellipse fitting. To address this problem, we adopt the ℓ p …
The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT
Epicardial adipose tissue (EAT) is located between the visceral pericardium and
myocardium, and EAT volume is correlated with cardiovascular risk. Nowadays, many deep …
myocardium, and EAT volume is correlated with cardiovascular risk. Nowadays, many deep …
[PDF][PDF] Quantification of epicardial adipose tissue volume and attenuation for cardiac CT scans using deep learning in a single multi-task framework
M Abdulkareem, MS Brahier, F Zou… - Reviews in …, 2022 - qmro.qmul.ac.uk
Background: Recent studies have shown that epicardial adipose tissue (EAT) is an
independent atrial fibrillation 48 (AF) prognostic marker and has influence on the myocardial …
independent atrial fibrillation 48 (AF) prognostic marker and has influence on the myocardial …
Deep Learning-Based Approach for the Automatic Quantification of Epicardial Adipose Tissue from Non-Contrast CT
Epicardial adipose tissue (EAT) is contiguous with arteries and myocardium. An increase in
the volume of EAT may lead to adverse cardiovascular events. Therefore, quantification of …
the volume of EAT may lead to adverse cardiovascular events. Therefore, quantification of …
Automated pericardium segmentation and epicardial adipose tissue quantification from computed tomography images
Y Wang, A Wang, L Wang, W Tan, L Xu, J Wang… - … Signal Processing and …, 2025 - Elsevier
Abstract Background and Objective Epicardial Adipose Tissue (EAT) is regarded as an
independent risk factor for cardiovascular disease, and an increase in its volume is closely …
independent risk factor for cardiovascular disease, and an increase in its volume is closely …