Automatic epicardial adipose tissue segmentation in pulmonary computed tomography venography using nnU-Net
Yifan Hu,
Shanshan Jiang,
Xiaojin Yu
et al.
Abstract:Background
Epicardial adipose tissue (EAT) is a key aspect in the investigation of cardiac pathophysiology. We sought to develop a deep learning (DL) model for fully automatic extraction and quantification of EAT through pulmonary computed tomography venography (PCTV) images.
Methods
In this retrospective study, we included 128 patients with atrial fibrillation and PCTV from 2 hospitals. A DL model for automated EAT segmentation was developed from a training set of 51 p… Show more
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