Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study.
Journal:
Gastrointestinal endoscopy
Published Date:
Jan 1, 2021
Abstract
BACKGROUND AND AIMS: A deep convolutional neural network (CNN) system could be a high-level screening tool for capsule endoscopy (CE) reading but has not been established for targeting various abnormalities. We aimed to develop a CNN-based system and compare it with the existing QuickView mode in terms of their ability to detect various abnormalities.