Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

"Radiomics" extracts and mines a large number of medical imaging features in a non-invasive and cost-effective way. The underlying assumption of radiomics is that these imaging features quantify phenotypic characteristics of an entire tumor. In order to enhance applicability of radiomics i...

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Bibliographic Details

Published in:	Frontiers in oncology Vol. 5; p. 272
Main Authors:	Parmar, Chintan, Grossmann, Patrick, Rietveld, Derek, Rietbergen, Michelle M., Lambin, Philippe, Aerts, Hugo J. W. L.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 03.12.2015
Subjects:	Cancer Computational science Machine learning classification Oncology Quantitative imaging techniques Radiology Radiomics quantitative imaging radiomics computational science cancer machine learning radiology
ISSN:	2234-943X, 2234-943X
Online Access:	Get full text
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