Results 131 to 140 of about 443,568 (160)
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Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis

Gastrointestinal Endoscopy, 2020
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-bowel diseases.
Rami Eliakim   +2 more
exaly   +2 more sources

Magnetically Controlled Capsule Endoscopy Versus Conventional Gastroscopy

Journal of Clinical Gastroenterology, 2021
Background: The introduction of magnetically controlled capsule endoscopy overcame the restriction of passive capsule endoscopy movement, thus allowing an improved visualization of the gastrointestinal lumen, where other imaging studies seem to be ...
G. Geropoulos   +4 more
semanticscholar   +1 more source

Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal Endoscopy, 2020
BACKGROUND AND AIMS Protruding lesions of the small bowel vary in wireless capsule endoscopy (WCE) images, and their automatic detection may be difficult.
Hiroaki Saito   +13 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

Video Capsule Endoscopy

Gastrointestinal Endoscopy Clinics of North America, 2021
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David R. Cave
semanticscholar   +1 more source

Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal Endoscopy, 2019
BACKGROUND AND AIMS Although erosions and ulcerations are the most common small-bowel abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection method has not been established.
Tomonori Aoki   +13 more
semanticscholar   +1 more source

Gastroenterologist-level Identification of Small Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-learning Model.

Gastroenterology, 2019
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 consuming for gastroenterologists.
Zhen Ding   +12 more
semanticscholar   +1 more source

Deep learning algorithms for automated detection of Crohn's disease ulcers by video capsule endoscopy.

Gastrointestinal Endoscopy, 2019
BACKGROUND AND AIM The aim of our study was to develop and evaluate a deep learning algorithm for the automated detection of small-bowel ulcers in Crohn's disease (CD) on capsule endoscopy )CE( images of individual patients.
E. Klang   +9 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

Use of artificial intelligence for detection of gastric lesions by magnetically controlled capsule endoscopy.

Gastrointestinal Endoscopy, 2020
BACKGROUND AND AIMS Magnetically controlled capsule endoscopy (MCE) has become an efficient diagnostic modality for gastric diseases. We developed a novel automatic gastric lesion detection system to assist in diagnosis and reduce inter-physician ...
J. Xia   +13 more
semanticscholar   +1 more source

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