Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
Abstract
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&N) cancer cohorts (in total 878 patients). Radiomic features were extracted from the...
Paper Details
Title
Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
Published Date
Jun 5, 2015
Journal
Volume
5
Issue
1
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