AIMC Topic: Laryngoscopy
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Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network.
Medical & biological engineering & computing
Mar 21, 2019
Laryngeal endoscopy is one of the primary diagnostic tools for laryngeal disorders. The main techniques are videostroboscopy and lately high-speed video endoscopy. Unfortunately, due to the restricting anatomy of the larynx and technical limitations ...
A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation.
International journal of computer assisted radiology and surgery
Jan 16, 2019
PURPOSE: Automated segmentation of anatomical structures in medical image analysis is a prerequisite for autonomous diagnosis as well as various computer- and robot-aided interventions. Recent methods based on deep convolutional neural networks (CNN)...
Quantification and Analysis of Laryngeal Closure From Endoscopic Videos.
IEEE transactions on bio-medical engineering
Aug 29, 2018
OBJECTIVE: At present, there are no objective techniques to quantify and describe laryngeal obstruction, and the reproducibility of subjective manual quantification methods is insufficient, resulting in diagnostic inaccuracy and a poor signal-to-nois...
Development of a novel humanoid-robot simulator for endoscope with pharyngeal reflex and real-life responses.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Jun 7, 2018
Learning-based classification of informative laryngoscopic frames.
Computer methods and programs in biomedicine
Jan 31, 2018
BACKGROUND AND OBJECTIVE: Early-stage diagnosis of laryngeal cancer is of primary importance to reduce patient morbidity. Narrow-band imaging (NBI) endoscopy is commonly used for screening purposes, reducing the risks linked to a biopsy but at the co...
A Novel Artificial Intelligence System for Endotracheal Intubation.
Prehospital emergency care
Mar 17, 2016
OBJECTIVE: Adequate visualization of the glottic opening is a key factor to successful endotracheal intubation (ETI); however, few objective tools exist to help guide providers' ETI attempts toward the glottic opening in real-time. Machine learning/a...
A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.
Artificial intelligence in medicine
Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Laryngoscopy
Vibration
Phonation
Larynx
Voice Quality
Female
Pattern Recognition, Automated
Reproducibility of Results
Wavelet Analysis
Case-Control Studies
Biomechanical Phenomena
Aged
Vocal Cords
Support Vector Machine
Time Factors
Male
Adult
Voice Disorders
Predictive Value of Tests
Middle Aged
Humans
Principal Component Analysis
Video Recording
Image Interpretation, Computer-Assisted
Comparison of Coopdech®, CoPilot®, Intubrite®, and Macintosh laryngoscopes for tracheal intubation during pediatric cardiopulmonary resuscitation: a randomized, controlled crossover simulation trial.
European journal of pediatrics
May 21, 2015
UNLABELLED: The aim of the study was to compare the intubation times and success rates of various laryngoscopes during resuscitation in pediatric emergency intubation with uninterrupted chest compression on a standardized pediatric manikin model. Thi...
[The application of domestic flexible arm robot in assisting transoral resection of throat tumors].
Zhonghua yi xue za zhi
Mar 11, 2025
The current study aimed to evaluate the application value of the domestic otolaryngology-specific flexible-arm robotic system in the resection of throat tumors. A 53-year-old male patient diagnosed with a left-sided throat tumor underwent tumor resec...
Predicting semantic segmentation quality in laryngeal endoscopy images.
PloS one
Jan 1, 2025
Endoscopy is a major tool for assessing the physiology of inner organs. Contemporary artificial intelligence methods are used to fully automatically label medical important classes on a pixel-by-pixel level. This so-called semantic segmentation is fo...
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