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Artificial intelligence-based diagnosis of abnormalities in small-bowel capsule endoscopy

Endoscopy, 2021
BACKGROUND : Further development of deep learning-based artificial intelligence (AI) technology to automatically diagnose multiple abnormalities in small-bowel capsule endoscopy (SBCE) videos is necessary.
Zhen Ding   +10 more
semanticscholar   +1 more source

Artificial intelligence in small bowel capsule endoscopy ‐ current status, challenges and future promise

Journal of Gastroenterology and Hepatology, 2021
Neural network‐based solutions are under development to alleviate physicians from the tedious task of small‐bowel capsule endoscopy reviewing. Computer‐assisted detection is a critical step, aiming to reduce reading times while maintaining accuracy ...
X. Dray   +6 more
semanticscholar   +1 more source

Small-bowel endoscopy

Endoscopy, 2007
Small-bowel endoscopy is now an essential tool for the investigation of patients with suspected small-bowel disorders. The current endoscopic methods to investigate the small-bowel lumen are: video capsule endoscopy (VCE) and deviceassisted enteroscopy (DAE). DAE comprises single balloon, double balloon, and spiral enteroscopy.
Klaus Mönkemüller   +2 more
openaire   +7 more sources

Automatic detection of different types of small-bowel lesions on capsule endoscopy images using a newly developed deep convolutional neural network

Endoscopy, 2020
Background Previous computer-aided detection systems for diagnosing lesions in images from wireless capsule endoscopy (WCE) have been limited to a single type of small-bowel lesion.
Keita Otani   +12 more
semanticscholar   +1 more source

Crohn disease of the small bowel: preliminary comparison among CT enterography, capsule endoscopy, small-bowel follow-through, and ileoscopy.

Radiology, 2006
PURPOSE To prospectively compare four diagnostic small-bowel imaging techniques for depiction of abnormal findings in the same patients known to have or suspected of having Crohn disease.
A. Hara   +7 more
semanticscholar   +1 more source

A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy

Endoscopy, 2020
Background Cleanliness scores in small-bowel capsule endoscopy (SBCE) have poor reproducibility. The aim of this study was to evaluate a neural network-based algorithm for automated assessment of small-bowel cleanliness during capsule endoscopy.
A. Histace   +9 more
semanticscholar   +1 more source

Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images

Digestive Endoscopy, 2020
Although small‐bowel angioectasia is reported as the most common cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding, a computer‐aided detection method has not been ...
A. Tsuboi   +12 more
semanticscholar   +1 more source

Small-Bowel Endoscopy

Endoscopy, 2000
During the last year, promising results with the first clinical applications of capsule endoscopy have been reported; this is a new, revolutionary diagnostic method for endoscopic study of the small bowel. The method has chiefly been used in patients with obscure gastrointestinal bleeding, and in some cases has allowed additional diagnoses to be made ...
F P, Rossini, M, Pennazio
openaire   +3 more sources

Small-bowel endoscopy

Endoscopy, 2008
Commentary: In the recent past, evaluation of the small bowel was limited to various radiographic techniques, red-blood-cell scintigraphy, angiography, and push enteroscopy. Overall, the success of these tests in identifying small-bowel lesions was variable and commonly unsatisfactory. The introduction of the wireless capsule endoscopy allowed complete
K, Mönkemüller   +3 more
openaire   +4 more sources

Endoscopy of the Small Bowel

Surgical Clinics of North America, 1982
The examination of the small bowel well beyond the ligament of Trietz requires more refined techniques and specialized instruments. This article discusses the equipment and technique for small bowel endoscopy and presents case histories.
Charles K. McSherry, Hiromi Shinya
openaire   +3 more sources

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