AIMC Topic: Capsule Endoscopy

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Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.

Sensors (Basel, Switzerland) Mar 13, 2019
Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typically, these images suffer from low contrast, complex background, variations in lesion shape and color, which affect the accuracy of their segmentation a...
Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Capsule Endoscopy Ulcer Neural Networks, Computer Machine Learning Deep Learning
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Addressing priority challenges in the detection and assessment of colorectal polyps from capsule endoscopy and colonoscopy in colorectal cancer screening using machine learning.

Acta oncologica (Stockholm, Sweden) Mar 5, 2019
BACKGROUND: Colorectal capsule endoscopy (CCE) is a potentially valuable patient-friendly technique for colorectal cancer screening in large populations. Before it can be widely applied, significant research priorities need to be addressed. We presen...
Colonoscopy Polyps Humans Machine Learning Algorithms Early Detection of Cancer Prognosis Capsule Endoscopy Colorectal Neoplasms
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An Enhancement of Computer Aided Approach for Colon Cancer Detection in WCE Images Using ROI Based Color Histogram and SVM2.

Journal of medical systems Jan 5, 2019
The colon cancer is formed by uncontrollable growth of abnormal cells in large intestine or colon that can affect both men and women and it is third cancer disease in the world. At present, Wireless Capsule Endoscopy (WCE) screening method is utilize...
Colonic Neoplasms Capsule Endoscopy Image Processing, Computer-Assisted Support Vector Machine Color Humans Algorithms
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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...
Pattern Recognition, Automated Peptic Ulcer ROC Curve Capsule Endoscopy Aged, 80 and over Ulcer Duodenal Ulcer Inflammatory Bowel Diseases Anti-Inflammatory Agents, Non-Steroidal Adult Ileal Diseases Male Humans Area Under Curve Sensitivity and Specificity Female Intestine, Small Middle Aged Neural Networks, Computer Aged Deep Learning Jejunal Diseases Software
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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...
Humans Neural Networks, Computer ROC Curve Image Processing, Computer-Assisted Capsule Endoscopy Intestine, Small Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Ulcer
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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...
Angiodysplasia Capsule Endoscopy Intestine, Small Intestinal Diseases Middle Aged Diagnosis, Computer-Assisted Predictive Value of Tests Neural Networks, Computer Algorithms Female Sensitivity and Specificity Humans Male Aged Aged, 80 and over
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Deep Endoscopic Visual Measurements.

IEEE journal of biomedical and health informatics Jul 9, 2018
Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extending to cover the increasing needs for accurate therapeutic interventions. In this context, it is ess...
Phantoms, Imaging Robotics Equipment Design Capsule Endoscopy Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted
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Intelligent visual localization of wireless capsule endoscopes enhanced by color information.

Computers in biology and medicine Sep 1, 2017
Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tract. One of the most challenging problems in WCE is the localization of the capsule endoscope (CE) wi...
Humans Capsule Endoscopy Neural Networks, Computer Capsule Endoscopes Image Processing, Computer-Assisted
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Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

Computers in biology and medicine Apr 8, 2017
BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to characterize celiac disease, but hours ar...
Neural Networks, Computer Machine Learning Algorithms Image Interpretation, Computer-Assisted Capsule Endoscopy Celiac Disease Humans
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Generic feature learning for wireless capsule endoscopy analysis.

Computers in biology and medicine Oct 19, 2016
The interpretation and analysis of wireless capsule endoscopy (WCE) recordings is a complex task which requires sophisticated computer aided decision (CAD) systems to help physicians with video screening and, finally, with the diagnosis. Most CAD sys...
Capsule Endoscopy Gastrointestinal Motility Machine Learning Algorithms Image Processing, Computer-Assisted Humans
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