Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network.

Background: Although great advances in artificial intelligence for interpreting small bowel capsule endoscopy (SBCE) images have been made in recent years, its practical use is still limited. The aim of this study was to develop a more practical convolutional neural network (CNN) algorithm for the automatic detection of various small bowel lesions.

Methods: A total of 7556 images were collected for the training dataset from 526 SBCE videos.