Fuzzy rule-based classification system for computer-aided diagnosis in contact endoscopy imaging
Wojciech Tarnawski, Marcin Frączek, Tomasz Kr̨ecicki, Michał Jeleń · 2008
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.