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Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stain...

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stain...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7670411

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

About this item

Full title

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2020-11, Vol.11 (1), p.5727-5727, Article 5727

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

For newly diagnosed breast cancer, estrogen receptor status (ERS) is a key molecular marker used for prognosis and treatment decisions. During clinical management, ERS is determined by pathologists from immunohistochemistry (IHC) staining of biopsied tissue for the targeted receptor, which highlights the presence of cellular surface antigens. This...

Alternative Titles

Full title

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7670411

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7670411

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-020-19334-3

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