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Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing

Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fde1b9bd778c4077bbfecc24f1524238

Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing

About this item

Full title

Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing

Publisher

Switzerland: MDPI AG

Journal title

Bioengineering (Basel), 2023-12, Vol.11 (1), p.13

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Oropharyngeal Squamous Cell Carcinoma (OPSCC) is one of the common forms of heterogeneity in head and neck cancer. Infection with human papillomavirus (HPV) has been identified as a major risk factor for OPSCC. Therefore, differentiating the HPV-positive and negative cases in OPSCC patients is an essential diagnostic factor influencing future treat...

Alternative Titles

Full title

Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fde1b9bd778c4077bbfecc24f1524238

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fde1b9bd778c4077bbfecc24f1524238

Other Identifiers

ISSN

2306-5354

E-ISSN

2306-5354

DOI

10.3390/bioengineering11010013

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