A deep learning model classifies duodenal biopsy images into celiac disease, environmental enteropathy, or normal with 92.86% whole-slide accuracy in a small, site-confounded test set.
”Convolutional neural network architectures for the automated diagnosis of celiac disease.” International Workshop on Computer-Assisted and Robotic Endoscopy
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Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease
A deep learning model classifies duodenal biopsy images into celiac disease, environmental enteropathy, or normal with 92.86% whole-slide accuracy in a small, site-confounded test set.