Fuzzy approach to grade gliomas using susceptibility-weighted images. A preliminary study

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Title:	Fuzzy approach to grade gliomas using susceptibility-weighted images. A preliminary study
Author:	Aymerich Martínez, Francisco Javier; Auger, Cristina; García, Julio; Martínez Sáez, Elena; Martínez Ricarte, Francisco; Corral, Juan Francisco; Rovira, Alex
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy
Abstract:	This paper describes a method to grade gliomas examined by magnetic resonance imaging. It is a preliminary study focused only on the features extracted from susceptibility-weighted images. The proposed method involves fusion of classifiers based on decision trees designed using fuzzy techniques. The favorable results indicate that the fuzzy approach may be of particular value for grading gliomas.
Subject(s):	-Àrees temàtiques de la UPC::Ciències de la salut -Magnetic resonance imaging -Diagnostic imaging -Imatgeria per ressonància magnètica -Tumors -- Diagnòstic -Imatgeria per al diagnòstic
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Document type:	Article - Submitted version Conference Object
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
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