Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer

Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer

Abstract Radiomics is the use of quantitative imaging features extracted from medical images to characterize tumor pathology or heterogeneity. Features measured at pretreatment have successfully predicted patient outcomes in numerous cancer sites. This project was designed to determine whether radio...

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Bibliographic Details
Main Authors: Xenia Fave, Lifei Zhang, Jinzhong Yang, Dennis Mackin, Peter Balter, Daniel Gomez, David Followill, Aaron Kyle Jones, Francesco Stingo, Zhongxing Liao, Radhe Mohan, Laurence Court
Format: article
Language:EN
Published: Nature Portfolio 2017
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/29380d9f555d4f32bed853ac2972c1e0
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