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Categorizing sequences of laryngeal data for decision support
Kaunas University of Technology, Kaunas, Lithuania.
Kaunas University of Technology, Kaunas, Lithuania.
Kaunas University of Technology, Kaunas, Lithuania.
Kaunas University of Technology, Kaunas, Lithuania.
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2009 (English)In: ECT 2009: Electrical and Control Technologies / [ed] Navickas, A, Kaunas: Kaunas University Technology Press , 2009, p. 99-Conference paper, Published paper (Refereed)
Abstract [en]

This paper is concerned with kernel-based techniques for categorizing laryngeal disorders based on information extracted from sequences of laryngeal colour images. The features used to characterize a laryngeal image are given by the kernel principal components computed using the N-vector of the 3-D colour histogram. The least squares support vector machine (LS-SVM) is designed for categorizing an image sequence into the healthy, nodular and diffuse classes. The kernel function employed by the SVM classifier is defined over a pair of matrices, rather than over a pair of vectors. An encouraging classification performance was obtained when testing the developed tools on data recorded during routine laryngeal videostroboscopy.

Place, publisher, year, edition, pages
Kaunas: Kaunas University Technology Press , 2009. p. 99-
Series
Electrical and Control Technologies, ISSN 1822-5934
Keyword [en]
Larynx pathology, Image sequence, Classification, Support vector machine
National Category
Computer Vision and Robotics (Autonomous Systems) Other Computer and Information Science Remote Sensing
Identifiers
URN: urn:nbn:se:hh:diva-35777ISI: 000280250900021Scopus ID: 2-s2.0-84941695841OAI: oai:DiVA.org:hh-35777DiVA, id: diva2:1193130
Conference
4th International Conference on Electrical and Control Technologies, ECT 2009, Kaunas University of Technology, Kaunas, Lithuania, 7-8 May 2009
Available from: 2018-03-26 Created: 2018-03-26 Last updated: 2018-03-26Bibliographically approved

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Verikas, Antanas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf