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Categorizing sequences of laryngeal data for decision support
Kaunas University of Technology, Lithuania.
Kaunas University of Technology, Lithuania.
Kaunas University of Technology, Lithuania.
Kaunas University of Technology, Lithuania.
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2009 (English)In: Electrical and Control Technologies: Proceedings of the 4th international conference, ECT 2009 / [ed] A. Navickas (general editor), A. Sauhats, A. Virbalis, M. A┼żubalis, V. Galvanauskas, A. Jonaitis, Kaunas: IFAC Committee of National Lithuanian Organisation , 2009, p. 99-102Conference paper, Published paper (Refereed)
Abstract [en]

This paper is concerned with kernel-based techniques forcategorizing laryngeal disorders based on information extracted fromsequences of laryngeal colour images. The features used tocharacterize a laryngeal image are given by the kernel principalcomponents computed using the $N$-vector of the 3-D colourhistogram. The least squares support vector machine (LS-SVM) isdesigned for categorizing an image sequence into the healthy, nodular and diffuse classes. The kernel functionemployed by the SVM classifier is defined over a pair of matrices, rather than over a pair of vectors. An encouraging classificationperformance was obtained when testing the developed tools on datarecorded during routine laryngeal videostroboscopy.

Place, publisher, year, edition, pages
Kaunas: IFAC Committee of National Lithuanian Organisation , 2009. p. 99-102
Series
Electrical and Control Technologies, ISSN 1822-5934 ; 2009
Keywords [en]
Larynx pathology, Image sequence, Classification, Support vector machine
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hh:diva-108OAI: oai:DiVA.org:hh-108DiVA, id: diva2:236173
Conference
Electrical and Control Technologies: proceedings of the 4th international conference, ECT 2009, May 7 - 8, Kaunas, Lithuania
Available from: 2009-09-21 Created: 2009-09-21 Last updated: 2018-01-13Bibliographically approved

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http://www.elektroklubas.lt/pdf/2009/Proceedings_ECT-2009_EN.pdf

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Verikas, Antanas

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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