Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis
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 …
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …
[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
A Majid, MA Khan, M Yasmin, A Rehman… - Microscopy research …, 2020 - Wiley Online Library
Automated detection and classification of gastric infections (ie, ulcer, polyp, esophagitis, and
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
Artificial intelligence using a convolutional neural network for automatic detection of small‐bowel angioectasia in capsule endoscopy images
A Tsuboi, S Oka, K Aoyama, H Saito, T Aoki… - Digestive …, 2020 - Wiley Online Library
Background and Aim Although small‐bowel angioectasia is reported as the most common
cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in …
cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in …
A deep convolutional neural network for bleeding detection in wireless capsule endoscopy images
Wireless Capsule Endoscopy (WCE) is a standard non-invasive modality for small bowel
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …
Wireless capsule endoscopy bleeding images classification using CNN based model
Wireless capsule endoscopy (WCE) is an efficient tool to investigate gastrointestinal tract
disorders and perform painless imaging of the intestine. Despite that, several concerns …
disorders and perform painless imaging of the intestine. Despite that, several concerns …
[HTML][HTML] Artificial intelligence in gastrointestinal endoscopy: The future is almost here
M Alagappan, JRG Brown, Y Mori… - World journal of …, 2018 - ncbi.nlm.nih.gov
Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of
industries and applications. In recent years, researchers have harnessed artificial …
industries and applications. In recent years, researchers have harnessed artificial …
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images
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 …
cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient …
Artificial intelligence in endoscopy
Y Okagawa, S Abe, M Yamada, I Oda… - Digestive Diseases and …, 2022 - Springer
Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …