Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks

Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes of malnutrition and adversely impact normal childhood development. CD is an autoimmune disorder that is prevalent worldwide and is caused by an increased sensitivity to gluten. Gluten exposure destructs the small intestinal epithelial barrier, resulting in nutrient mal-absorption and childhood under-nutrition. EE also results in barrier dysfunction but is thought to be caused by an increased vulnerability to infections. EE has been implicated as the predominant cause of under-nutrition, oral vaccine failure, and impaired cognitive development in low-and-middle-income countries. Both conditions require a tissue biopsy for diagnosis, and a major challenge of interpreting clinical biopsy images to differentiate between these gastrointestinal diseases is striking histopathologic overlap between them. In the current study, we propose a convolutional neural network (CNN) to classify duodenal biopsy images from subjects with CD, EE, and healthy controls. We evaluated the performance of our proposed model using a large cohort containing 1000 biopsy images. Our evaluations show that the proposed model achieves an area under ROC of 0.99, 1.00, and 0.97 for CD, EE, and healthy controls, respectively. These results demonstrate the discriminative power of the proposed model in duodenal biopsies classification.

Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference, FTC 2019 Volume 1
EditorsKohei Arai, Rahul Bhatia, Supriya Kapoor
PublisherSpringer
Pages750-765
Number of pages16
ISBN (Print)9783030325190
DOIs
Publication statusPublished - 2020
Event4th Future Technologies Conference, FTC 2019 - San Francisco, United States
Duration: 24 Oct 201925 Oct 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1069
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th Future Technologies Conference, FTC 2019
Country/TerritoryUnited States
CitySan Francisco
Period24/10/1925/10/19

Keywords

  • Celiac Disease
  • Convolutional neural networks
  • Environmental Enteropathy
  • Medical imaging

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