Development and validation of a three-dimensional deep learning-based system for assessing bowel preparation on colonoscopy video.

ABSTRACT:

Background

The performance of existing image-based training models in evaluating bowel preparation on colonoscopy videos was relatively low, and only a few models used external data to prove their generalization. Therefore, this study attempted to develop a more precise and stable AI system for assessing bowel preparation of colonoscopy video.

Methods

We proposed a system named ViENDO to assess the bowel preparation quality, including two CNNs. First, Information-Net was used to identify and filter out colonoscopy video frames unsuitable for Boston bowel preparation scale (BBPS) scoring. Second, BBPS-Net was trained and tested with 5,566 suitable short video clips through three-dimensional (3D) convolutional neural network (CNN) technology to detect BBPS-based insufficient b

SUBMITTER: Feng L 

PROVIDER: S-EPMC10757977 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature