Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …

Background: Multiple types of surgical cameras are used in modern surgical practice and
provide a rich visual signal that is used by surgeons to visualize the clinical site and make …

Stomach cancer is the third deadliest type of cancer in the world (0.86 million deaths in
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …

Background Photodocumentation during endoscopy procedures is one of the indicators for
endoscopy performance quality; however, this indicator is difficult to measure and audit in …

Endoscopic specialists performing gastroscopy, which relies on the naked eye, may benefit
from a computer-aided diagnosis (CADx) system that employs deep learning. This report …

Quality controlling for capsule endoscopic images can be completed with the assistance of
artificial intelligence, but the labeling process is time‐consuming. Domain adaption is a …

This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to
detect various gastrointestinal diseases using a new ResNet50*-based deep feature …

Anatomical sites recognition is a basic requirement for gastroenterologists. But there is not a
unified framework for anatomical sites identification in both ordinary and capsule …