Today, medical endoscopy is a widely used procedure to inspect the inner cavities of the
human body. The advent of endoscopic imaging techniques-allowing the acquisition of …

Wireless capsule endoscopy (WCE) is a process in which a patient swallows a camera-
embedded pill-shaped device that passes through the gastrointestinal (GI) tract, captures …

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

A novel computer-aided detection method based on deep learning framework was proposed
to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To …

Background and study aims: Early neoplasia in Barrett's esophagus is difficult to detect and
often overlooked during Barrett's surveillance. An automatic detection system could be …

Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one
of the most common causes of visual impairment worldwide. Early diagnosis demands the …

Accurate lesion segmentation based on endoscopy images is a fundamental task for the
automated diagnosis of gastrointestinal tract (GI Tract) diseases. Previous studies usually …

This chapter provides an in-depth description of the LBP operator in spatial image domain.
The generic LBP operator, and its rotation-invariant and multiscale versions are introduced …

Wireless capsule endoscopy is a non-invasive, wireless imaging tool that has developed
rapidly over the last several years. One of the main limiting factors using this technology is …

Automatic and accurate esophageal lesion classification and segmentation is of great
significance to clinically estimate the lesion statuses of the esophageal diseases and make …