Deep learning for visual recognition of environmental enteropathy and celiac disease

Authors

Aman Shrivastava, University of Virginia, Charlottesville, VA 22903, USA.
Karan Kant, University of Virginia, Charlottesville, VA 22903, USA.
Saurav Sengupta, University of Virginia, Charlottesville, VA 22903, USA.
Sung-Jun Kang, University of Virginia, Charlottesville, VA 22903, USA.
Marium Khan, University of Virginia, Charlottesville, Virginia,USA.
Syed Asad Ali, Aga Khan UniversityFollow
Sean R. Moore, University of Virginia, Charlottesville, Virginia,USA.
Beatrice C. Amadi, University of Zambia School of Medicine, Lusaka, Zambia
Paul Kelly, University of Zambia School of Medicine, Lusaka, Zambia
Donald E. Brown, University of Virginia, Charlottesville, VA 22903, USA.
Sana Syed, University of Virginia, Charlottesville, Virginia,USA.

Document Type

Conference Paper

Department

Paediatrics and Child Health; Women and Child Health

Abstract

Physicians use biopsies to distinguish between different but histologically similar enteropathies. The range of syndromes and pathologies that could cause different gastrointestinal conditions makes this a difficult problem. Recently, deep learning has been used successfully in helping diagnose cancerous tissues in histopathological images. These successes motivated the research presented in this paper, which describes a deep learning approach that distinguishes between Celiac Disease (CD) and Environmental Enteropathy (EE) and normal tissue from digitized duodenal biopsies. Experimental results show accuracies of over 90% for this approach. We also look into interpreting the neural network model using Gradient-weighted Class Activation Mappings and filter activations on input images to understand the visual explanations for the decisions made by the model.

Comments

Volume, and issue are not provided by the author/publisher

Publication (Name of Journal)

IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

Recommended Citation

Shrivastava, A., Kant, K., Sengupta, S., Kang, S., Khan, M., Ali, S., Moore, S. R., Amadi, B. C., Kelly, P., Brown, D. E., Syed, S. (2019). Deep learning for visual recognition of environmental enteropathy and celiac disease. IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 1-4.
Available at: https://ecommons.aku.edu/pakistan_fhs_mc_women_childhealth_paediatr/866