Image analysis and CADx system for mucosal lesions

A computer aided diagnosis (CADx) system for oral mucosal lesions has been developed using clinical cases from India as training examples. The investigated classifiers were support vector machine (SVM) and Bayes point machine (BPM), and the task was to discriminate potentially precancerous lesions f...

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Bibliographic Details
Main Authors: Chodorowski, A., Choudhury, C.R., Gustavsson, T.
Format: Conference Proceeding
Language:English
Subjects:
Cancer detection
Charge coupled devices
Dentistry
Humans
Image analysis
Image color analysis
Lesions
Shape
Support vector machine classification
Support vector machines
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Summary:A computer aided diagnosis (CADx) system for oral mucosal lesions has been developed using clinical cases from India as training examples. The investigated classifiers were support vector machine (SVM) and Bayes point machine (BPM), and the task was to discriminate potentially precancerous lesions from non-precancerous lesions. The discriminating features consisted of color differences and lesionspsila shape properties. The overall classification accuracy was 85% (29 out of 34) for both SVM and BPM classifiers.
DOI:10.1109/BIBE.2008.4696842