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Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomi...

Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7a6b9be386ce4f91b0cc79c8ee2ad24c

Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomicroscopy

About this item

Full title

Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomicroscopy

Publisher

London: Nature Publishing Group UK

Journal title

NPJ precision oncology, 2024-06, Vol.8 (1), p.131-7, Article 131

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

There has been a persistent demand for an innovative modality in real-time histologic imaging, distinct from the conventional frozen section technique. We developed an artificial intelligence-driven real-time evaluation model for gastric cancer tissue using confocal laser endomicroscopic system. The remarkable performance of the model suggests its...

Alternative Titles

Full title

Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomicroscopy

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7a6b9be386ce4f91b0cc79c8ee2ad24c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7a6b9be386ce4f91b0cc79c8ee2ad24c

Other Identifiers

ISSN

2397-768X

E-ISSN

2397-768X

DOI

10.1038/s41698-024-00621-x

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