The first step in reading a capsule endoscopy (CE) is determining the gastrointestinal (GI)
organ. Because CE produces too many inappropriate and repetitive images, automatic …

The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is
time-intensive. Algorithms introduced to automate this process are premature for real clinical …

Background & Aims Capsule endoscopy has revolutionized investigation of the small bowel.
However, this technique produces a video that is 8–10 hours long, so analysis is time …

Background Wireless capsule endoscopy (WCE) is a patient-friendly and non-invasive
technology that scans the whole of the gastrointestinal tract, including difficult-to-access …

Methods: We demonstrated the use of deep learning models in CE image analysis,
specifically by piloting a bowel preparation model (BPM) and an abnormality detection …

Wireless capsule endoscopy (WCE) enables physicians to examine the gastrointestinal tract
by transmitting images wirelessly from a disposable capsule to a data recorder. Although …

Although wireless capsule endoscopy (WCE) detects small bowel diseases effectively, it has
some limitations. For example, the reading process can be time consuming due to the …

Background Further development of deep learning-based artificial intelligence (AI)
technology to automatically diagnose multiple abnormalities in small-bowel capsule …

Unlike wired endoscopy, capsule endoscopy requires additional time for a clinical specialist
to review the operation and examine the lesions. To reduce the tedious review time and …

Background Wireless capsule endoscopy (WCE) has improved evaluation of small bowel
pathology. Unfortunately, the reading process is laborious and monotonous—leading to …