AIMC Topic: Colonic Diseases

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Density clustering-based automatic anatomical section recognition in colonoscopy video using deep learning.

Scientific reports Jan 9, 2024
Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic diseases and generating accurate reports. While recent studies have endeavored to identify anatomical regions of the colon using deep learning, the deformable anatom...
Humans Deep Learning Cluster Analysis Colonic Diseases Algorithms Colonoscopy
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Unsupervised colonoscopic depth estimation by domain translations with a Lambertian-reflection keeping auxiliary task.

International journal of computer assisted radiology and surgery May 17, 2021
PURPOSE: A three-dimensional (3D) structure extraction technique viewed from a two-dimensional image is essential for the development of a computer-aided diagnosis (CAD) system for colonoscopy. However, a straightforward application of existing depth...
Humans Supervised Machine Learning Colonic Diseases Colon Colonoscopy
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Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.

IEEE transactions on medical imaging Nov 26, 2018
Hyperspectral imaging (HSI) of tissue samples in the mid-infrared (mid-IR) range provides spectro-chemical and tissue structure information at sub-cellular spatial resolution. Disease states can be directly assessed by analyzing the mid-IR spectra of...
Humans Image Interpretation, Computer-Assisted Optical Imaging Colonic Diseases Spectrophotometry, Infrared Cluster Analysis Supervised Machine Learning Colon Image Processing, Computer-Assisted
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Autonomously Controlled Magnetic Flexible Endoscope for Colon Exploration.

Gastroenterology Mar 9, 2018
Colonoscopy Swine Disease Models, Animal Animals Colon Colonic Diseases Colonoscopes Robotics Equipment Design Female
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Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.

The Journal of surgical research Dec 30, 2016
BACKGROUND: The prognosis for patients with severe acute lower intestinal bleeding (ALIB) may be assessed by complex artificial neural networks (ANNs) or user-friendly regression-based models. Comparisons between these modalities are limited, and pre...
Rectal Diseases Area Under Curve Colonic Diseases Gastrointestinal Hemorrhage Adolescent ROC Curve Risk Assessment Severity of Illness Index Neural Networks, Computer Decision Support Techniques Humans Aged, 80 and over Young Adult Male Female Prognosis Risk Factors Adult Middle Aged Retrospective Studies Aged
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A general framework for wireless capsule endoscopy study synopsis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 10, 2014
We present a general framework for analysis of wireless capsule endoscopy (CE) studies. The current available workstations provide a time-consuming and labor-intense work-flow for clinicians which requires the inspection of the full-length video. The...
Machine Learning Image Enhancement Humans Colonic Diseases Pattern Recognition, Automated Algorithms Sensitivity and Specificity Capsule Endoscopy Reproducibility of Results Image Interpretation, Computer-Assisted
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Classifying the Indication for Colonoscopy Procedures: A Comparison of NLP Approaches in a Diverse National Healthcare System.

Studies in health technology and informatics Jan 1, 2015
In order to measure the level of utilization of colonoscopy procedures, identifying the primary indication for the procedure is required. Colonoscopies may be utilized not only for screening, but also for diagnostic or therapeutic purposes. To determ...
Needs Assessment Decision Support Systems, Clinical Colonic Diseases United States Hospitals, Veterans Natural Language Processing Electronic Health Records National Health Programs Medical Overuse Data Mining Colonoscopy Humans Mass Screening Machine Learning
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