Paper Info
Title
Advanced computing solutions for analysis of laryngeal disorders.
Abstract
Clinical diagnosis of voice pathologies is performed by analyzing audio, color, shape, and vibration patterns of the laryngeal recordings which are taken with medical imaging devices such as video-laryngostroboscope, direct laryngoscopy, and high-speed videoendoscopes. This paper examines state-of-the-art methods and reveals open issues and problems of computing solutions for analysis and identification of laryngeal disorders. We propose a categorical representation of the most significant applications published so far in terms of their scopes, used methodologies, and achieved results. Laryngeal image/video analysis is discussed in four main categories: segmentation of vocal folds, classification of vocal fold disorders, vocal fold vibration analysis, and vocal fold image stitching. By this study, we reveal new opportunities and potentials of vision-based computerized solutions for evaluation, early diagnosis, and prevention of laryngeal disorders.
Year
DOI
Venue
2019
10.1007/s11517-019-02031-9
Medical & Biological Engineering & Computing
Keywords
Field
DocType
Vocal fold disorders, Laryngeal image analysis, Blood vessels of vocal folds, Classification of vocal fold disorders, Vibration analysis
Computer vision,Image stitching,Vocal folds,Laryngeal Disorder,Categorical variable,Segmentation,Medical imaging,Speech recognition,Clinical diagnosis,Artificial intelligence,Laryngoscopy,Mathematics
Journal
Volume
Issue
ISSN
57
11
0140-0118
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
H. Irem Türkmen1203.93
M. Elif Karsligil27313.69