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Towards a computer-aided diagnosis system for vocal cord diseases
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0003-2185-8973
Department of Applied Electronics, Kaunas University of Technology, LT-3031, Kaunas, Lithuania.
Department of Applied Electronics, Kaunas University of Technology, LT-3031, Kaunas, Lithuania.
Kaunas University of Medicine, Kaunas, Lithuania.
2006 (Engelska)Ingår i: Artificial Intelligence in Medicine, ISSN 0933-3657, E-ISSN 1873-2860, Vol. 36, nr 1, s. 71-84Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

OBJECTIVE: The objective of this work is to investigate a possibility of creating a computer-aided decision support system for an automated analysis of vocal cord images aiming to categorize diseases of vocal cords. METHODOLOGY: The problem is treated as a pattern recognition task. To obtain a concise and informative representation of a vocal cord image, colour, texture, and geometrical features are used. The representation is further analyzed by a pattern classifier categorizing the image into healthy, diffuse, and nodular classes. RESULTS: The approach developed was tested on 785 vocal cord images collected at the Department of Otolaryngology, Kaunas University of Medicine, Lithuania. A correct classification rate of over 87% was obtained when categorizing a set of unseen images into the aforementioned three classes. CONCLUSION: Bearing in mind the high similarity of the decision classes, the results obtained are rather encouraging and the developed tools could be very helpful for assuring objective analysis of the images of laryngeal diseases.

Ort, förlag, år, upplaga, sidor
Amsterdam: Elsevier, 2006. Vol. 36, nr 1, s. 71-84
Nyckelord [en]
Vocal cord image, Gabor filtering, Texture, Computer-aided diagnosis
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:hh:diva-258DOI: 10.1016/j.artmed.2004.11.001ISI: 000235242000005PubMedID: 16412950Scopus ID: 2-s2.0-30344447932Lokalt ID: 2082/553OAI: oai:DiVA.org:hh-258DiVA, id: diva2:237437
Tillgänglig från: 2006-11-24 Skapad: 2006-11-24 Senast uppdaterad: 2017-12-13Bibliografiskt granskad

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