AIMC Topic: Intestine, Small
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Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Oct 2, 2019
BACKGROUND AND AIM: 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.
Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Oct 2, 2019
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 patients with obscure gastrointestinal bleeding, a computer-aided detection metho...
Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.
Gastroenterology
Jun 25, 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. Deep convolutional neural networks (CNN...
Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography.
AJR. American journal of roentgenology
Nov 26, 2018
OBJECTIVE: The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional radiographs with increased training set size.
Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.
Gastrointestinal endoscopy
Oct 25, 2018
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. We aimed to develop an artificial intelligence...
Jejunal Diseases
Peptic Ulcer
Ulcer
Capsule Endoscopy
Duodenal Ulcer
Sensitivity and Specificity
Female
Ileal Diseases
Humans
ROC Curve
Male
Aged
Intestine, Small
Neural Networks, Computer
Anti-Inflammatory Agents, Non-Steroidal
Middle Aged
Aged, 80 and over
Software
Area Under Curve
Deep Learning
Adult
Inflammatory Bowel Diseases
Pattern Recognition, Automated
Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images.
Physics in medicine and biology
Aug 10, 2018
A novel computer-aided detection method based on deep learning framework was proposed to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To the best of our knowledge, this is the first time that deep learning fra...
A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.
Gastrointestinal endoscopy
Jul 11, 2018
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. The aim of this study was to develop a comp...
Computer vision-based diameter maps to study fluoroscopic recordings of small intestinal motility from conscious experimental animals.
Neurogastroenterology and motility
Mar 16, 2017
BACKGROUND: When available, fluoroscopic recordings are a relatively cheap, non-invasive and technically straightforward way to study gastrointestinal motility. Spatiotemporal maps have been used to characterize motility of intestinal preparations in...
The injury of serotonin on intestinal epithelium cell renewal of weaned diarrhoea mice.
European journal of histochemistry : EJH
Dec 28, 2016
Diarrhoea is a common cause of death in children and weaned animals. Recent research has found that serotonin (5-HT) in the gastrointestinal tract plays an important role in regulating growth and the maintenance of mucosa, which protect against diarr...
Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process.
Medical image analysis
May 14, 2016
The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless capsule endoscopy (WCE). Both of these techniques produce a large number of images in each diagnosis. The lesion detection done by hand from the images above...
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