AIMC Topic: Glottis
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Improved U-Net based on ResNet and SE-Net with dual attention mechanism for glottis semantic segmentation.
Medical engineering & physics
Feb 6, 2025
In previous tasks of glottis image segmentation, the position attention mechanism was rarely incorporated, neglecting the detailed information in glottis position detection. Aiming to improve the U-Net architecture, this study introduces the dual att...
Construction of prediction model of early glottic cancer based on machine learning.
Acta oto-laryngologica
Dec 30, 2024
BACKGROUND: The early diagnosis of glottic laryngeal cancer is the key to successful treatment, and machine learning (ML) combined with narrow-band imaging (NBI) laryngoscopy provides a new idea for the early diagnosis of glottic laryngeal cancer.
Have We Solved Glottis Segmentation? Review and Commentary.
Journal of voice : official journal of the Voice Foundation
Dec 7, 2024
Quantification of voice physiology has been a key research goal. Segmenting the glottal area to describe the vocal fold motion has seen increased attention in the last two decades. However, researchers struggled to fully automatize the segmentation t...
Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy.
Journal of perinatology : official journal of the California Perinatal Association
Nov 13, 2024
OBJECTIVE: This study aimed to develop an artificial intelligence (AI) method to augment video laryngoscopy (VL) by automating the detection of the glottic opening in neonates, as a step toward future studies on improving intubation outcomes.
AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records.
The Laryngoscope
Jun 12, 2024
OBJECTIVE: This study investigated whether artificial intelligence (AI) models combining voice signals, demographics, and structured medical records can detect glottic neoplasm from benign voice disorders.
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 ...
Diagnosis of Early Glottic Cancer Using Laryngeal Image and Voice Based on Ensemble Learning of Convolutional Neural Network Classifiers.
Journal of voice : official journal of the Voice Foundation
Sep 6, 2022
OBJECTIVES: The purpose of study is to improve the classification accuracy by comparing the results obtained by applying decision tree ensemble learning, which is one of the methods to increase the classification accuracy for a relatively small datas...
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....
A Deep Learning Enhanced Novel Software Tool for Laryngeal Dynamics Analysis.
Journal of speech, language, and hearing research : JSLHR
May 17, 2021
Purpose High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold osc...
Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Feb 16, 2021
OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate...
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