Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough
computer technology. By the era of big data, the accumulation of an enormous number of …

Background Artificial intelligence (AI) is increasingly being used in medical imaging
analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of …

Background and Aims Deep learning is an innovative algorithm based on neural networks.
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …

This paper proposes a novel methodology for automatic detection and localization of
gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed …

Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging
task. Typically, these images suffer from low contrast, complex background, variations in …

Artificial intelligence is likely to perform several roles currently performed by humans, and
the adoption of artificial intelligence-based medicine in gastroenterology practice is …

Recently, many computer-aided diagnosis (CAD) methods have been proposed to help
physicians automatically classify endoscopic images. However, most existing methods often …

Wireless capsule endoscopy (WCE) is one of the most efficient methods for the examination
of gastrointestinal tracts. Computer-aided intelligent diagnostic tools alleviate the challenges …

Wireless capsule endoscopy is a non-invasive and painless procedure to examine the
gastrointestinal tract of human body, and an experienced clinician takes 2–3 hours for …

Gastrointestinal (GI) disease is one of the most common diseases and primarily examined
by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks …