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 …

Purpose Wireless capsule endoscopy (WCE) enables physicians to examine the digestive
tract without any surgical operations, at the cost of a large volume of images to be analyzed …

Management of small bowel diseases has evolved since the advent of capsule endoscopy
(CE) and balloon‐assisted enteroscopy (BAE). One of the most common indications for …

Wireless capsule endoscopy (WCE) can directly take digital images in the gastrointestinal
tract of a patient. It has opened a new chapter in small intestine examination. However, a …

Wireless capsule endoscopy (WCE) enables noninvasive and painless direct visual
inspection of a patient's whole digestive tract, but at the price of long time reviewing large …

Ulcer is one of the most common symptoms of many serious diseases in the human
digestive tract. Especially for the ulcers in the small bowel where other procedures cannot …

Wireless capsule endoscopy (WCE) has become a widely used diagnostic technique for the
digestive tract, at the price of a large volume of data that needs to be analyzed. To tackle this …

Wireless capsule endoscopy (WCE) produces amounts of redundant images in one
examination, which is very laborious and time-consuming for a physician to review these. It …

Abstract Background and Study Aims Capsule endoscopy is the first‐line diagnostic
technique for the small bowel. However, the inability to visualize the duodenal papilla is an …

Esophagitis, cancerous growths, bleeding, and ulcers are typical symptoms of
gastrointestinal disorders, which account for a significant portion of human mortality. For …