This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic resonance 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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Nebot, À., Castro, F., Vellido, A., Julià-Sapé, M., & Arús, C. (2008). Rule-based assistance to brain tumour diagnosis using LR-FIR. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5178 LNAI, pp. 173–180). Springer Verlag. https://doi.org/10.1007/978-3-540-85565-1_22
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