深度学习
人工智能
医学
卷积神经网络
多中心研究
核医学
机器学习
放射科
计算机科学
内科学
随机对照试验
作者
Frédéric Commandeur,Markus Goeller,Aryabod Razipour,Sebastien Cadet,Michaela M. Hell,Jacek Kwieciński,Xi Chen,Hyuk‐Jae Chang,Mohamed Marwan,Stephan Achenbach,Daniel S. Berman,Piotr J. Slomka,Balaji Tamarappoo,Damini Dey
出处
期刊：Radiology
[Radiological Society of North America]
日期：2019-11-01
卷期号：1 (6): e190045-e190045
被引量：139
标识
DOI：10.1148/ryai.2019190045
摘要
Deep learning allows rapid, robust, and fully automated quantification of EAT from calcium scoring CT. It performs as well as an expert reader and can be implemented for routine cardiovascular risk assessment.© RSNA, 2019See also the commentary by Schoepf and Abadia in this issue.
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