AIMC Topic: Vocal Cords

Clear Filters Showing 11 to 20 of 38 articles

A deep learning pipeline for automated classification of vocal fold polyps in flexible laryngoscopy.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Sep 11, 2023
PURPOSE: To develop and validate a deep learning model for distinguishing healthy vocal folds (HVF) and vocal fold polyps (VFP) on laryngoscopy videos, while demonstrating the ability of a previously developed informative frame classifier in facilita...
Humans Neural Networks, Computer Machine Learning Vocal Cords Laryngoscopy Polyps Retrospective Studies Deep Learning
View on PubMed DOI

Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks.

Communications biology May 18, 2023
Tissue dynamics play critical roles in many physiological functions and provide important metrics for clinical diagnosis. Capturing real-time high-resolution 3D images of tissue dynamics, however, remains a challenge. This study presents a hybrid phy...
Vocal Cords Neural Networks, Computer Animals Imaging, Three-Dimensional Physics Algorithms Dogs
View on PubMed DOI

Support of deep learning to classify vocal fold images in flexible laryngoscopy.

American journal of otolaryngology Feb 24, 2023
PURPOSE: To collect a dataset with adequate laryngoscopy images and identify the appearance of vocal folds and their lesions in flexible laryngoscopy images by objective deep learning models.
Deep Learning Vocal Cords Laryngoscopy Humans
View on PubMed DOI

Localization and quantification of glottal gaps on deep learning segmentation of vocal folds.

Scientific reports Jan 17, 2023
The entire glottis has mostly been the focus in the tracking of the vocal folds, both manually and automatically. From a treatment point of view, the various regions of the glottis are of specific interest. The aim of the study was to test if it was ...
Humans Vibration Phonation Larynx Deep Learning Vocal Cords Glottis
View on PubMed DOI

Comparison of convolutional neural networks for classification of vocal fold nodules from high-speed video images.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Nov 11, 2022
OBJECTIVES: Deep learning is in this study used through convolutional neural networks (CNN) to the determination of vocal fold nodules. Through high-speed video (HSV) images and computer-assisted tools, a comparison of convolutional neural network mo...
Humans Neural Networks, Computer Vocal Cords
View on PubMed DOI

Predictive Outcomes of Deep Learning Measurement of the Anterior Glottic Angle in Bilateral Vocal Fold Immobility.

The Laryngoscope Nov 3, 2022
OBJECTIVE: (1) To compare maximum glottic opening angle (anterior glottic angle, AGA) in patients with bilateral vocal fold immobility (BVFI), unilateral vocal fold immobility (UVFI) and normal larynges (NL), and (2) to correlate maximum AGA with pat...
Vocal Cords Larynx Deep Learning Vocal Cord Paralysis Humans Retrospective Studies
View on PubMed DOI

Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy.

Journal of healthcare engineering Oct 17, 2022
The use of high-speed video-endoscopy (HSV) in the study of phonatory processes linked to speech needs the precise identification of vocal fold boundaries at the time of vibration. The HSV is a unique laryngeal imaging technology that captures intrac...
Phonation Humans Vocal Cord Paralysis Endoscopy Deep Learning Vocal Cords Video Recording
View on PubMed DOI

Deep-Learning-Based Representation of Vocal Fold Dynamics in Adductor Spasmodic Dysphonia during Connected Speech in High-Speed Videoendoscopy.

Journal of voice : official journal of the Voice Foundation Sep 23, 2022
OBJECTIVE: Adductor spasmodic dysphonia (AdSD) is a neurogenic dystonia, which causes spasms of the laryngeal muscles. This disorder mainly affects production of connected speech. To understand how AdSD affects vocal fold (VF) movements and hence, th...
Voice Quality Dysphonia Speech Production Measurement Phonation Female Reproducibility of Results Biomechanical Phenomena Male Adult Image Interpretation, Computer-Assisted Speech Acoustics Humans Laryngoscopy Vocal Cords Deep Learning Middle Aged Vibration Predictive Value of Tests Case-Control Studies Video Recording
View on PubMed DOI

A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy.

Journal of speech, language, and hearing research : JSLHR May 23, 2022
PURPOSE: Voice disorders are best assessed by examining vocal fold dynamics in connected speech. This can be achieved using flexible laryngeal high-speed videoendoscopy (HSV), which enables us to study vocal fold mechanics with high temporal details....
Larynx Humans Deep Learning Glottis Vibration Vocal Cords Phonation Voice Disorders Laryngoscopy Speech Video Recording
View on PubMed DOI

Vocal cord lesions classification based on deep convolutional neural network and transfer learning.

Medical physics Dec 8, 2021
PURPOSE: Laryngoscopy, the most common diagnostic method for vocal cord lesions (VCLs), is based mainly on the visual subjective inspection of otolaryngologists. This study aimed to establish a highly objective computer-aided VCLs diagnosis system ba...
Vocal Cords ROC Curve Neural Networks, Computer Area Under Curve Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals