Results 141 to 150 of about 443,568 (160)

A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

Gastrointestinal Endoscopy, 2019
BACKGROUND AND AIMS GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure.
R. Leenhardt, Pauline Vasseur, Cynthia Li, J. Saurin, G. Rahmi, F. Cholet, A. Becq, P. Marteau, A. Histace, X. Dray   +9 more
semanticscholar   +1 more source

Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

Journal of experimental and theoretical artificial intelligence (Print), 2019
Gastrointestinal tract (GIT) infections such as ulcers, bleeding, polyps, Crohn’s disease and cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient means of investigation of GIT diseases.
Muhammad Sharif, Muhammad Attique Khan, Muhammad Rashid, Mussarat Yasmin, Farhat Afza, U. Tanik   +5 more
semanticscholar   +1 more source

A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images

Comput. Biol. Medicine, 2021
Samir Jain, Ayan Seal, A. Ojha, A. Yazidi, J. Bureš, I. Tachecí, O. Krejcar   +6 more
semanticscholar   +1 more source

Clinical usefulness of a deep learning‐based system as the first screening on small‐bowel capsule endoscopy reading

Digestive Endoscopy, 2019
To examine whether our convolutional neural network (CNN) system based on deep learning can reduce the reading time of endoscopists without oversight of abnormalities in the capsule‐endoscopy reading process.
Tomonori Aoki, Atsuo Yamada, Kazuharu Aoyama, Hiroaki Saito, Gota Fujisawa, Nariaki Odawara, Ryoujiro Kondo, A. Tsuboi, Rei Ishibashi, Ayako Nakada, R. Niikura, M. Fujishiro, S. Oka, S. Ishihara, T. Matsuda, M. Nakahori, Shinji Tanaka, K. Koike, T. Tada   +18 more
semanticscholar   +1 more source

Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network

Journal of Gastroenterology and Hepatology, 2019
Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible bleeding in the reading ...
Tomonori Aoki, Atsuo Yamada, Yusuke Kato, Hiroaki Saito, A. Tsuboi, Ayako Nakada, R. Niikura, M. Fujishiro, S. Oka, S. Ishihara, T. Matsuda, M. Nakahori, Shinji Tanaka, K. Koike, T. Tada   +14 more
semanticscholar   +1 more source

Capsule endoscopy – Recent developments and future directions

Expert Review of Gastroenterology and Hepatology, 2021
Stefania Chetcuti Zammit
exaly  

Gastrointestinal diagnosis using non-white light imaging capsule endoscopy

Nature Reviews Gastroenterology and Hepatology, 2019
Sandy Cochran, John Plevris, Gastone Ciuti   +2 more
exaly  

Software for enhanced video capsule endoscopy: challenges for essential progress

Nature Reviews Gastroenterology and Hepatology, 2015
Anastasios Koulaouzidis, Dimitris Iakovidis, Iakovidis Dimitris K   +2 more
exaly  

Indications and detection, completion, and retention rates of small-bowel capsule endoscopy: a systematic review

Gastrointestinal Endoscopy, 2010
Zhuan Liao, Zhaoshen Li
exaly  

Retention of the capsule endoscope: a single-center experience of 1000 capsule endoscopy procedures

Gastrointestinal Endoscopy, 2008
Giovanni de Petris, David E Fleischer, Russell I Heigh   +2 more
exaly