Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis.

ABSTRACT:

Background

Wireless capsule endoscopy (WCE) is considered to be a powerful instrument for the diagnosis of intestine diseases. Convolution neural network (CNN) is a type of artificial intelligence that has the potential to assist the detection of WCE images. We aimed to perform a systematic review of the current research progress to the CNN application in WCE.

Methods

A search in PubMed, SinoMed, and Web of Science was conducted to collect all original publications about CNN implementation in WCE. Assessment of the risk of bias was performed by Quality Assessment of Diagnostic Accuracy Studies-2 risk list. Pooled sensitivity and specificity were calculated by an exact binominal rendition of the bivariate mixed-effects regression model. I² was used for the evaluati

SUBMITTER: Qin K 

PROVIDER: S-EPMC8741689 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature