Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer. (Q36343075)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26697407%20AND%20SRC:MED&resulttype=core&format=json

3 March 2020

title

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

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3 March 2020

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1

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3 March 2020

Hugo Aerts

6

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3 March 2020

author name string

Patrick Grossmann

2

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3 March 2020

Derek Rietveld

3

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3 March 2020

Michelle M Rietbergen

4

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3 March 2020

Philippe Lambin

5

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3 March 2020

language of work or name

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3 December 2015

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3 March 2020

published in

Frontiers in Oncology

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3 March 2020

volume

5

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3 March 2020

page(s)

272

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Machine Learning methods for Quantitative Radiomic Biomarkers

3 March 2020

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Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy?

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Non-small cell lung cancer: histopathologic correlates for texture parameters at CT.

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30 September 2017

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1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26697407

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.3389/FONC.2015.00272

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26697407%20AND%20SRC:MED&resulttype=core&format=json

3 March 2020

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26697407%20AND%20SRC:MED&resulttype=core&format=json

3 March 2020

PubMed publication ID

26697407

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26697407%20AND%20SRC:MED&resulttype=core&format=json