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This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res-
onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from computer-aided assistance, which has to be readily interpretable by clinicians. Interpretation can be achieved through rule extraction, which is here performed using the LR-FIR algorithm, a method based on fuzzy logic. The experimental results of the classification of three groups of tumours indicate in this study that just three
spectral frequencies, out of the 195 from a range pre-selected by experts, are enough to represent, in a simple and intuitive manner, most of the knowledge required to discriminate these groups.
CitationNebot, A. [et al.]. Rule-based assistance to brain tumour diagnosis using LR-FIR. A: "Investigating human cancer with computational intelligence techniques". Future Technology Press, 2009, p. 83-92.
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