Abstract
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<p>This paper is concerned with an a … <p>This paper is concerned with an approach to automated analysis of vocal fold images aiming to categorize laryngeal diseases. Colour, texture, and geometrical features are used to extract relevant information. A committee of support vector machines is then employed for performing the categorization of vocal fold images into healthy, diffuse, and nodular classes. The discrimination power of both, the original and the space obtained based on the kernel principal component analysis is investigated. A correct classification rate of over 92% was obtained when testing the system on 785 vocal fold images. Bearing in mind the high similarity of the decision classes, the correct classification rate obtained is rather encouraging.</p> obtained is rather encouraging.</p>
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Author
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Antanas Verikas +
, Adas Gelzinis +
, Marija Bacauskiene +
, Donata Valincius +
, Virgilijus Uloza +
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DOI
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http://dx.doi.org/10.1016/j.compmedimag.2007.07.003 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238538
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EndPage
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594 +
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Issue
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8 +
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Journal
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Computerized Medical Imaging and Graphics +
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PublicationType
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Journal Paper +
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Publisher
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Pergamon Press +
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StartPage
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587 +
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Title
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A kernel-based approach to categorizing laryngeal images +
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Volume
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31 +
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Year
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2007 +
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Has queryThis property is a special property in this wiki.
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Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
, Publications:A kernel-based approach to categorizing laryngeal images +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:39:17 +
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