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Radiomics analysis using stability selection supervised component analysis for right-censored surviv...

Radiomics analysis using stability selection supervised component analysis for right-censored surviv...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7501167

Radiomics analysis using stability selection supervised component analysis for right-censored survival data

About this item

Full title

Radiomics analysis using stability selection supervised component analysis for right-censored survival data

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2020-09, Vol.124, p.103959-103959, Article 103959

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractRadiomics is a newly emerging field that involves the extraction of massive quantitative features from biomedical images by using data-characterization algorithms. Distinctive imaging features identified from biomedical images can be used for prognosis and therapeutic response prediction, and they can provide a noninvasive approach for pers...

Alternative Titles

Full title

Radiomics analysis using stability selection supervised component analysis for right-censored survival data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7501167

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7501167

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2020.103959

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