Advanced computing solutions for analysis of laryngeal disorders.
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-t...
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 11; pp. 2535 - 2553 |
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| Main Authors: | , |
| Format: | review Journal Article |
| Published: |
Springer Nature
Nov2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139479820&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139479820 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2019 vid: 57 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139479820 139479820 NLM31493281 139479820 10.1007/s11517-019-02031-9 NLM31493281 139479820 ppf: 2535 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Advanced computing solutions for analysis of laryngeal disorders. aug: au: Turkmen, H. Irem Karsligil, M. Elif affil: Computer Engineering Department, Faculty of Electrical & Electronics Engineering, Yildiz Technical University, 34220, Istanbul, Turkey sug: subj: Laryngeal Diseases Image Processing, Computer Assisted Methods Tomography, Optical Coherence Laryngeal Diseases Classification Endoscopy Equipment and Supplies Laryngoscopy Videorecording Vocal Cords Voice Disorders Diagnosis Vibration Endoscopy Methods Scales ab: 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. Graphical abstract. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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