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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:IEEE Trans Med Imaging
Main Authors: Commandeur, Frederic, Goeller, Markus, Betancur, Julian, Cadet, Sebastien, Doris, Mhairi, Chen, Xi, Berman, Daniel S., Slomka, Piotr J., Tamarappoo, Balaji K., Dey, Damini
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
Assuntos:
Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados