Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6919
Title: Interval Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors
Authors: Zarinbal, M.
Zarandi, Mohammad Hossein Fazel
Türkşen, İsmail Burhan
İzadi, M.
Keywords: Medical Expert System
Image Processing
Interval Type-2 Fuzzy Logic
Collaborative Fuzzy Clustering
Astrocytomas
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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