Objectives There is uncertainty regarding the efficacy of artificial intelligence (AI) software to
detect advanced subtle neoplasia, particularly flat lesions and sessile serrated lesions …

Objectives Convolutional neural networks (CNN) for computer‐aided diagnosis of polyps
are often trained using high‐quality still images in a single chromoendoscopy imaging …

Methods Our group previously developed a CNN using 4664 polyp test frames from the
MICCAI 2015 polyp detection challenge dataset. 1 Here, we created a second dataset using …

Abstract Background and Aim Lack of visual recognition of colorectal polyps may lead to
interval cancers. The mechanisms contributing to perceptual variation, particularly for subtle …

Introduction Artificial intelligence (AI) can potentially improve adenoma detection rates.
Previous work focussed on still images and selected video sequences which may be subject …

We read with interest the study by ten Kate et al (Gut 2007; 56: 1198–201) concerning
screening for small bowel tumours in patients with Lynch syndrome (LS)(hereditary non …

Introduction Colonoscopic polypectomy can prevent colorectal cancer. Polyp detection rates
vary considerably due to human error and missed adenomas may contribute to interval …

An attempt is made at determining the effects of an external flux of high-energy electrons on
the electron energy distribution function. An analytical model is developed for a simple …