_deep-learning-of-epicardial-and-thoracic-adipose-tissue-from-non-contrast-ct-myprojectbazaar.jpg "Deep Learning of Epicardial and Thoracic Adipose Tissue from Non-Contrast CT-MyProjectBazaar from fat assessment tool Video Screenshot Preview")
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⏲ Duration: 4 min 61 sec
✓ Published: 21-Jun-2019
✓ Published: 21-Jun-2019
Description:
Epicardial adipose tissue EAT is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a time saving and reliable tool for cardiovascular risk assessment. We propose a new fully automated deep learning framework for EAT and thoracic adipose tissue TAT quantification from noncontrast coronary artery calcium CT scans. A first multi-task convolutional neural network ConvNet is used to determine heart limits and perform s
Epicardial adipose tissue EAT is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a time saving and reliable tool for cardiovascular risk assessment. We propose a new fully automated deep learning framework for EAT and thoracic adipose tissue TAT quantification from noncontrast coronary artery calcium CT scans. A first multi-task convolutional neural network ConvNet is used to determine heart limits and perform s
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