Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue from Non-Contrast CT

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 timesaving and reliable tool for cardiovascular risk assessment. We propose a new fully automated deep learning framework for EAT...

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Veröffentlicht in:IEEE Trans Med Imaging
Hauptverfasser: Commandeur, Frederic, Goeller, Markus, Betancur, Julian, Cadet, Sebastien, Doris, Mhairi, Chen, Xi, Berman, Daniel S., Slomka, Piotr J., Tamarappoo, Balaji K., Dey, Damini
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2018
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6076348/
https://ncbi.nlm.nih.gov/pubmed/29994362
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2804799
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