医学
肺癌
回顾性队列研究
无线电技术
队列研究
梅德林
癌症
内科学
肿瘤科
重症监护医学
放射科
生物
生物化学
作者
Ahmed Hosny,Chintan Parmar,Thibaud Coroller,Patrick Großmann,Roman Zeleznik,Avnish Kumar,Johan Bussink,Robert J. Gillies,Raymond H. Mak,Hugo J.W.L. Aerts
出处
期刊:PLOS Medicine
[Public Library of Science]
日期:2018-11-30
卷期号:15 (11): e1002711-e1002711
被引量:563
标识
DOI:10.1371/journal.pmed.1002711
摘要
Our results provide evidence that deep learning networks may be used for mortality risk stratification based on standard-of-care CT images from NSCLC patients. This evidence motivates future research into better deciphering the clinical and biological basis of deep learning networks as well as validation in prospective data.
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