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Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imag...

Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imag...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_038c3319707b4220b923f29bb14d9493

Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer

About this item

Full title

Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2024-08, Vol.14 (15), p.1605

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

With the advent of whole-slide imaging (WSI), a technology that can digitally scan whole slides in high resolution, pathology is undergoing a digital revolution. Detecting microsatellite instability (MSI) in colorectal cancer is crucial for proper treatment, as it identifies patients responsible for immunotherapy. Even though universal testing for...

Alternative Titles

Full title

Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_038c3319707b4220b923f29bb14d9493

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_038c3319707b4220b923f29bb14d9493

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics14151605

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