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Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between E...

Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between E...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2539524441

Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis

About this item

Full title

Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis

Publisher

US: Oxford University Press

Journal title

Inflammatory bowel diseases, 2022-03, Vol.28 (4), p.539-546

Language

English

Formats

Publication information

Publisher

US: Oxford University Press

More information

Scope and Contents

Contents

Abstract
Background
Eosinophils have been implicated in the pathogenesis of ulcerative colitis and have been associated with disease course and therapeutic response. However, associations between eosinophil density, histologic activity, and clinical features have not been rigorously studied.
Methods
A deep learning algorithm was trained...

Alternative Titles

Full title

Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2539524441

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2539524441

Other Identifiers

ISSN

1078-0998

E-ISSN

1536-4844

DOI

10.1093/ibd/izab122

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