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Towards a computer-aided diagnosis system for vocal cord diseases.

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.

journal_name

Artif Intell Med

journal_title

Artificial intelligence in medicine

authors

Verikas A,Gelzinis A,Bacauskiene M,Uloza V

doi

10.1016/j.artmed.2004.11.001

subject

Has Abstract

pub_date

2006-01-01 00:00:00

pages

71-84

issue

1

eissn

0933-3657

issn

1873-2860

pii

S0933-3657(04)00165-4

journal_volume

36

pub_type

杂志文章

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