Automated detection of celiac disease on duodenal biopsy slides: A deep learning approach

Automated detection of celiac disease on duodenal biopsy slides: A deep learning approach

Context: Celiac disease (CD) prevalence and diagnosis have increased substantially in recent years. The current gold standard for CD confirmation is visual examination of duodenal mucosal biopsies. An accurate computer-aided biopsy analysis system using deep learning can help pathologists diagnose C...

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Bibliographic Details
Main Authors: Jason W Wei, Jerry W Wei, Christopher R Jackson, Bing Ren, Arief A Suriawinata, Saeed Hassanpour
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:Journal of Pathology Informatics
Subjects:
Celiac disease
deep learning
digital pathology
duodenal biopsy
whole-slide imaging
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2019;volume=10;issue=1;spage=7;epage=7;aulast=Wei

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2019;volume=10;issue=1;spage=7;epage=7;aulast=Wei

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