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A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans.
Carmelo Militello, Leonardo Rundo, Patrizia Toia, Vincenzo Conti, Giorgio Russo, Clarissa Filorizzo, Erica Maffei, Filippo Cademartiri, Ludovico La Grutta, Massimo Midiri, Salvatore Vitabile
Sep 17, 2020
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. Considering that manual approaches are generally...
Calcium score scans Cardiac adipose tissue quantification Coronary computed tomography angiography scans Epicardial fat volume Fat density quartiles Semi-automatic segmentation Adipose Tissue Adult Algorithms Deep learning Female Humans Image Interpretation Computer-Assisted Male Middle Aged Pericardium Tomography X-Ray Computed