Ontology highlight
ABSTRACT:
SUBMITTER: Parmar C
PROVIDER: S-EPMC4937496 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Parmar Chintan C Leijenaar Ralph T H RT Grossmann Patrick P Rios Velazquez Emmanuel E Bussink Johan J Rietveld Derek D Rietbergen Michelle M MM Haibe-Kains Benjamin B Lambin Philippe P Aerts Hugo J W L HJ
Scientific reports 20150605
Radiomics provides a comprehensive quantification of tumor phenotypes by extracting and mining large number of quantitative image features. To reduce the redundancy and compare the prognostic characteristics of radiomic features across cancer types, we investigated cancer-specific radiomic feature clusters in four independent Lung and Head &Neck (H) cancer cohorts (in total 878 patients). Radiomic features were extracted from the pre-treatment computed tomography (CT) images. Consensus clusterin ...[more]