Several computer-based medical systems have been proposed for automatic detection of
abnormalities in a variety of medical imaging domains. The majority of these systems are …

Several studies have addressed the problem of abnormality detection in medical images
using computer-based systems. The impact of such systems in clinical practice and in the …

Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology
enabling more thorough examination and treatment of the gastrointestinal tract than …

Background and study aims The contribution of artificial intelligence (AI) to endoscopy is
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …

As the field of deep learning continues to expand, it has become increasingly apparent that
large volumes of data are needed to train algorithms effectively. This is particularly …

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

Video capsule endoscopy (VCE) is a non-invasive procedure to examine the human bowel.
The VCE technology generates thousands of images from different parts of the …

Video Capsule Endoscopy (VCE) is a diagnostic imaging technology, based on capsule with
a built-in camera, that enables screening of the gastro-intestinal tract by reducing the …

Capsule endoscopy (CE) is the first-line diagnostic tool for inspecting gastrointestinal (GI)
tract diseases. It is a tremendous task on examining and managing the CE videos by …

Abstract Analysis of medical videos from the human gastrointestinal (GI) tract for detection
and localization of abnormalities like lesions and diseases requires both high precision and …