Publications:Towards a computer-aided diagnosis system for vocal cord diseases

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Title Towards a computer-aided diagnosis system for vocal cord diseases
Author Antanas Verikas and Adas Gelzinis and Marija Bacauskiene and Virgilijus Uloza
Year 2006
PublicationType Journal Paper
Journal Artificial Intelligence in Medicine
HostPublication
Conference
DOI http://dx.doi.org/10.1016/j.artmed.2004.11.001
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:237437
Abstract 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.