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Quantification and Analysis of Laryngeal Closure from Endoscopic Videos
Jianyu Lin
*
, Emil S. Walsted,
Vibeke Backer
, James H. Hull, Daniel S. Elson
*
Corresponding author for this work
Department of Clinical Medicine
11
Citations (Scopus)
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Keyphrases
Laryngoscopic View
100%
Laryngeal Closure
100%
Laryngeal Function
66%
Glottic
66%
Supraglottic
66%
Movement Data
33%
Neural Network
33%
Region of Interest
33%
Method Analysis
33%
Fast Processing
33%
Medical Research
33%
Vocal Fold
33%
Manual Quantification
33%
Processing Speed
33%
Singular Spectrum Analysis
33%
Network Algorithms
33%
Convolutional Neural Network
33%
Quantification Method
33%
Laryngeal Obstruction
33%
Diagnostic Process
33%
Signal-to-noise Ratio
33%
Temporal Dimension
33%
Medicine and Dentistry
Clinician
100%
Signal-to-Noise Ratio
100%
Medical Research
100%
Larynx Stenosis
100%
Reproducibility
100%
Spectroscopy
100%
Vocal Folds
100%
Diagnosis
100%
Nursing and Health Professions
Processing Speed
100%
Spectroscopy
100%
Signal Noise Ratio
100%
Larynx Stenosis
100%
Diagnosis
100%
Reproducibility
100%
Pharmacology, Toxicology and Pharmaceutical Science
Larynx Stenosis
100%