Fuzzy Logic Applications in Computer Science and Mathematics

11A Novel Fuzzy Logic (FL) Algorithm for Automatic Detection of Oral Cancer

M. Praveena Kiruba bai¹* and G. Arumugam^2†

¹Department of Computer Science, Lady Doak College, Madurai, Tamil Nadu, India

²Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India

Abstract

A diagnosis system for biomedical applications is presented. Oral cancer is a common cancer that affects the people worldwide. A mathematical framework named Adaptive Neuro Fuzzy Inference System (ANFIS) algorithm implemented focuses primarily on the classification of oral cancer. The source oral images acquainted are denoised for noise removal and enhanced for processing the images. The enhanced images are transformed and classified using ANFIS classifier. The proposed ANFIS model demonstrated enhanced performance metrics with 93% classification accuracy.

Keywords: ANFIS, oral cancer, classifier

11.1 Introduction

System modeling implemented using traditional mathematical techniques is not well adapted for dealing with uncertain systems. A fuzzy inference system, on the other hand, may mimic the qualitative features of reasoning processes and human knowledge without using exact quantitative assessments. There are no established techniques for incorporating human expertise into the rule set and database of a fuzzy inference system. Image processing is a thrust area that supports various fields like medicine, astronomy, satellite imaging, and industrial applications. The most challenging ...