AIMC Topic: Ileal Diseases

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Performance of deep learning-based algorithm for detection of ileocolic intussusception on abdominal radiographs of young children.

Scientific reports Dec 19, 2019
The purpose of this study was to develop and test the performance of a deep learning-based algorithm to detect ileocolic intussusception using abdominal radiographs of young children. For the training set, children (≤5 years old) who underwent abdomi...
Humans Algorithms Retrospective Studies Infant Deep Learning Image Processing, Computer-Assisted Ileal Diseases Intussusception Radiography, Abdominal
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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...
Humans Neural Networks, Computer Software Inflammatory Bowel Diseases Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve Anti-Inflammatory Agents, Non-Steroidal Area Under Curve Pattern Recognition, Automated Capsule Endoscopy Duodenal Ulcer Ileal Diseases Intestine, Small Jejunal Diseases Peptic Ulcer Ulcer
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