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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_29380d9f555d4f32bed853ac2972c1e0

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2017-04, Vol.7 (1), p.588-588, Article 588

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 features measured from non–small cell lung cancer (NSC...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_29380d9f555d4f32bed853ac2972c1e0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_29380d9f555d4f32bed853ac2972c1e0

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-017-00665-z

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