Interval Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors

Abstract

The focus of this paper is diagnosing and differentiating Astrocytomas in MRI scans by developing an Interval Type-2 fuzzy image processing expert system. This system consists of three modules: working memory, knowledge base, and inference engine. An image processing method with four steps of preprocessing, segmentation, feature extraction and approximate reasoning is used in inference engine module to enhance the quality of MRI scans, segment them into desired regions, extract the required features, and finally diagnose and differentiate Astrocytomas. The performance of this system is evaluated using 100 MRI scans and the results show good improvement in diagnosing and differentiating Astrocytomas.