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

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 radiomics feat...

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Bibliografische gegevens
Gepubliceerd in:Sci Rep
Hoofdauteurs: Fave, Xenia, Zhang, Lifei, Yang, Jinzhong, Mackin, Dennis, Balter, Peter, Gomez, Daniel, Followill, David, Jones, Aaron Kyle, Stingo, Francesco, Liao, Zhongxing, Mohan, Radhe, Court, Laurence
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group UK 2017
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5428827/
https://ncbi.nlm.nih.gov/pubmed/28373718
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-00665-z
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