AIMC Topic: Foreign Bodies

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Esophageal discoid foreign body detection and classification using artificial intelligence.

Pediatric radiology Dec 1, 2021
BACKGROUND: Early and accurate radiographic diagnosis is required for the management of children with radio-opaque esophageal foreign bodies. Button batteries are some of the most dangerous esophageal foreign bodies and coins are among the most commo...
Artificial Intelligence Infant Humans Electric Power Supplies Foreign Bodies Numismatics Child Esophagus
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Novel Computer-Aided Diagnosis Software for the Prevention of Retained Surgical Items.

Journal of the American College of Surgeons Sep 27, 2021
BACKGROUND: Retained surgical items are a serious human error. Surgical sponges account for 70% of retained surgical items. To prevent retained surgical sponges, it is important to establish a system that can identify errors and avoid the occurrence ...
Humans Software Sensitivity and Specificity Surgical Sponges Postoperative Period Phantoms, Imaging Torso Foreign Bodies Radiography Cadaver Diagnosis, Computer-Assisted Deep Learning
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B-Map: a fuzzy-based model to detect foreign objects in a brain.

Medical & biological engineering & computing Jul 17, 2021
To cope up with the medical complications, scientists and physicians rely more on digitized historical evidence. It helps them to identify the disease and to develop new drugs and strategies. The authors have designed a model called B-Map. It can det...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Fuzzy Logic Foreign Bodies Humans
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A robust convolutional neural network for lung nodule detection in the presence of foreign bodies.

Scientific reports Jul 31, 2020
Lung cancer is a major cause of death worldwide. As early detection can improve outcome, regular screening is of great interest, especially for certain risk groups. Besides low-dose computed tomography, chest X-ray is a potential option for screening...
False Positive Reactions Foreign Bodies Humans Neural Networks, Computer Lung Solitary Pulmonary Nodule Tomography, X-Ray Computed
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A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb.

Scientific reports Mar 5, 2020
The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examination is a troublesome problem, which can make the medical staff spend several hours observing whether the CE enters the descending segment of the duodenu...
Monitoring, Intraoperative Retrospective Studies Female Neural Networks, Computer Algorithms Young Adult Capsule Endoscopes Adult Middle Aged Foreign Bodies Sensitivity and Specificity Aged Adolescent Capsule Endoscopy Male Duodenum Aged, 80 and over Stomach Automation Humans Image Processing, Computer-Assisted
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Addressing multi-label imbalance problem of surgical tool detection using CNN.

International journal of computer assisted radiology and surgery Mar 29, 2017
PURPOSE: A fully automated surgical tool detection framework is proposed for endoscopic video streams. State-of-the-art surgical tool detection methods rely on supervised one-vs-all or multi-class classification techniques, completely ignoring the co...
Image Processing, Computer-Assisted Algorithms Foreign Bodies Pattern Recognition, Automated Humans Endoscopy Neural Networks, Computer
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[Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2021
PURPOSE: Foreign bodies such as a surgical gauze can be retained in the body after surgery and in some cases cannot be detected by postoperative radiography. The aim of this study was to develop an object detection model capable of postsurgical detec...
Radiography Radiography, Abdominal Foreign Bodies Humans Deep Learning
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