AIMC Topic: Ulcer

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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...
Ulcer Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Capsule Endoscopy Neural Networks, Computer Machine Learning Humans
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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...
Jejunal Diseases Peptic Ulcer Middle Aged Ulcer Deep Learning Female Aged, 80 and over Software Sensitivity and Specificity Humans Aged Adult Ileal Diseases Inflammatory Bowel Diseases Male Capsule Endoscopy Neural Networks, Computer Area Under Curve ROC Curve Intestine, Small Duodenal Ulcer Anti-Inflammatory Agents, Non-Steroidal Pattern Recognition, Automated
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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...
Ulcer Humans ROC Curve Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Neural Networks, Computer Capsule Endoscopy Deep Learning Intestine, Small Case-Control Studies
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Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images.

Translational vision science & technology Jan 3, 2023
PURPOSE: To determine whether convolutional neural networks can detect morphological differences between images of microbiologically positive and negative corneal ulcers.
Humans Neural Networks, Computer Keratitis Artificial Intelligence Ulcer Cross-Sectional Studies
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Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

Journal of Crohn's & colitis Jan 28, 2022
BACKGROUND AND AIMS: Capsule endoscopy is a central element in the management of patients with suspected or known Crohn's disease. In 2017, PillCam™ Crohn's Capsule was introduced and demonstrated to have greater accuracy in the evaluation of extensi...
Intestine, Small Ulcer Pilot Projects Sensitivity and Specificity Crohn Disease Colon Intestinal Mucosa Capsule Endoscopy Humans Neural Networks, Computer
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The exceptional performance of deep learning for capsule endoscopy: Will such quality be maintained in clinical scenarios?

Gastrointestinal endoscopy Feb 1, 2021
Neural Networks, Computer Computers Humans Capsule Endoscopy Ulcer Deep Learning Hemorrhage
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