Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method

Conclusions. A deep convolutional neural network was established for quantitative measurement of the existence and degree of pathology throughout the small intestine, which may improve computer-aided clinical techniques to assess mucosal atrophy and other etiologies in real-time with videocapsule endoscopy.