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Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an ev...

Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an ev...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5a4a3706c02f472a978d61fda6bdb261

Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

About this item

Full title

Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

Publisher

London: BioMed Central Ltd

Journal title

Cancer imaging, 2023-09, Vol.23 (1), p.1-11, Article 84

Language

English

Formats

Publication information

Publisher

London: BioMed Central Ltd

More information

Scope and Contents

Contents

Background Extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning may yield promising performance of predicting ENE in HNSCC but lack of transparency and interpretability. This work proposes an evolutionary learning method, called EL-ENE, to establi...

Alternative Titles

Full title

Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5a4a3706c02f472a978d61fda6bdb261

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5a4a3706c02f472a978d61fda6bdb261

Other Identifiers

ISSN

1470-7330,1740-5025

E-ISSN

1470-7330

DOI

10.1186/s40644-023-00601-7

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