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Medical & Biological Engineering & Computing

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06.09.2019 | Review Article

Advanced computing solutions for analysis of laryngeal disorders

verfasst von: H. Irem Turkmen, M. Elif Karsligil

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 11/2019

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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.

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Titel: Advanced computing solutions for analysis of laryngeal disorders
verfasst von: H. Irem Turkmen
M. Elif Karsligil
Publikationsdatum: 06.09.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Medical & Biological Engineering & Computing / Ausgabe 11/2019
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-019-02031-9

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