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|Title:||Interval Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors||Authors:||Zarinbal, M.
Zarandi, Mohammad Hossein Fazel
Türkşen, İsmail Burhan
|Keywords:||Medical Expert System
Interval Type-2 Fuzzy Logic
Collaborative Fuzzy Clustering
|Issue Date:||2014||Publisher:||IEEE||Source:||IEEE Conference on Norbert Wiener in the 21st Century (21CW) - Driving Technology's Future -- JUN 24-26, 2014 -- Boston, MA||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.||URI:||https://hdl.handle.net/20.500.11851/6919||ISBN:||978-1-4799-4562-7|
|Appears in Collections:||Endüstri Mühendisliği Bölümü / Department of Industrial Engineering|
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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