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

Zarinbal, M. ; Fazel Zarandi, M. H. ; Turksen, I. B. ; Izadi, M.

Journal of medical systems, 2015-10, Vol.39 (10), p.110-20, Article 110 [Periódico revisado por pares]

New York: Springer US

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Título:
A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors
Autor: Zarinbal, M. ; Fazel Zarandi, M. H. ; Turksen, I. B. ; Izadi, M.
Assuntos: Algorithms ; Astrocytoma - diagnosis ; Astrocytoma - pathology ; Brain cancer ; Brain Neoplasms - diagnosis ; Brain Neoplasms - pathology ; Engines ; Expert Systems - instrumentation ; Feature extraction ; Fuzzy ; Fuzzy Logic ; Fuzzy sets ; Health Informatics ; Health Sciences ; Humans ; Image processing ; Image Processing, Computer-Assisted - instrumentation ; Inference ; Magnetic Resonance Imaging - methods ; Medical diagnosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Modules ; Planes ; Statistics for Life Sciences ; Systems-Level Quality Improvement ; Tumors
É parte de: Journal of medical systems, 2015-10, Vol.39 (10), p.110-20, Article 110
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: The focus of this paper is diagnosing and differentiating Astrocytomas in MRI scans by developing an interval Type-2 fuzzy automated tumor detection system. This system consists of three modules: working memory, knowledge base, and inference engine. An image processing method with three steps of preprocessing, segmentation and 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. However, brain tumors have different characteristics in different planes, so considering one plane of patient’s MRI scan may cause inaccurate results. Therefore, in the developed system, several consecutive planes are processed. The performance of this system is evaluated using 95 MRI scans and the results show good improvement in diagnosing and differentiating Astrocytomas.
Editor: New York: Springer US
Idioma: Inglês

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

Zarinbal, M. ; Fazel Zarandi, M. H. ; Turksen, I. B. ; Izadi, M.

New York: Springer US

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