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Fuzzy rule-based classification system for computer-aided diagnosis in contact endoscopy imaging

In this paper the image analysis system designed for contact endoscopy (CE) image interpretation is presented. The morphometric analysis of segmented nuclei is followed by the fuzzy rule-based classification. Rules generation is realized basis of fuzzy clustering approach. The classification results provide quantitative and qualitative interpretation and would be very helpful in the computer-aided cancer diagnosis of the larynx.