AIMC Topic: Capsule Endoscopy
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Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.
Journal of gastroenterology and hepatology
Dec 27, 2019
BACKGROUND AND AIM: 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 ble...
A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks.
Physics in medicine and biology
Dec 5, 2019
Compared with conventional gastroscopy which is invasive and painful, wireless capsule endoscopy (WCE) can provide noninvasive examination of gastrointestinal (GI) tract. The WCE video can effectively support physicians to reach a diagnostic decision...
Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.
Computer methods and programs in biomedicine
Nov 20, 2019
BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...
Celiac Disease
Linear Models
Calibration
Capsule Endoscopy
Image Processing, Computer-Assisted
Support Vector Machine
Intestinal Mucosa
Video Recording
Image Interpretation, Computer-Assisted
Discriminant Analysis
Light
Sensitivity and Specificity
Diagnosis, Computer-Assisted
Deep Learning
Algorithms
Reproducibility of Results
Endoscopy
Humans
Machine Learning
Deep learning algorithms for automated detection of Crohn's disease ulcers by video capsule endoscopy.
Gastrointestinal endoscopy
Nov 16, 2019
BACKGROUND AND AIMS: 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.
Stomach Deformities Recognition Using Rank-Based Deep Features Selection.
Journal of medical systems
Nov 1, 2019
Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient's deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy (WCE) is an advanced procedures used for...
Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection.
Computers in biology and medicine
Oct 3, 2019
Wireless capsule endoscopy (WCE) is a video technology to inspect abnormalities, like bleeding in the gastrointestinal tract. In order to avoid a complex and long duration manual review process, automatic bleeding detection schemes are developed that...
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...
Localization strategies for robotic endoscopic capsules: a review.
Expert review of medical devices
May 6, 2019
INTRODUCTION: Nowadays, mass screening campaigns for colorectal cancer diagnosis in the early and curable stage is essential yet limited due to many reasons, for example, invasiveness, fear of pain, and embarrassment for patients. Indeed, mass screen...
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