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Fuzzy Approach to Grade Gliomas using Susceptibility-Weighted Images. A Preliminary Study

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.