Log in to save to my catalogue

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learni...

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learni...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e099685c365a4f5fb19c30cab42e1569

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning

About this item

Full title

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-11, Vol.11 (1), p.22636-22636, Article 22636

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric cancers. Epstein–Barr virus (EBV)-positive and microsatellite instability (MSI) / mismatch repair deficient (dMMR) tumors have been reported to be highly responsive to ICIs. However, detecting these subtypes requires costly techniques, such as immunoh...

Alternative Titles

Full title

Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e099685c365a4f5fb19c30cab42e1569

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e099685c365a4f5fb19c30cab42e1569

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-02168-4

How to access this item