Gastroenterologist-Level Identification of Small-Bowel DiseasesĀ and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.
Journal:
Gastroenterology
Published Date:
Oct 1, 2019
Abstract
BACKGROUND & AIMS: Capsule endoscopy has revolutionized investigation of the small bowel. However, this technique produces a video that is 8-10 hours long, so analysis is time consuming for gastroenterologists. Deep convolutional neural networks (CNNs) can recognize specific images among a large variety. We aimed to develop a CNN-based algorithm to assist in the evaluation of small bowel capsule endoscopy (SB-CE) images.