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Rule-based assistance to brain tumour diagnosis using LR-FIR
Nebot Castells, M. Àngela; Castro Espinoza, Félix Agustín; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles
Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
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 classiffication of three groups of tumours indicate in this study that just threespectral 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.
2012-05-10
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
Brain -- Tumors -- Diagnosis
Medical informatics
Rule extraction
Fuzzy inductive reasoning
Brain tumours
Magnetic resonance spectroscopy
Medical decision support systems
Cervell -- Tumors
Informàtica mèdica
Espectroscòpia de ressonància magnètica nuclear
Sistemes d'ajuda a la decisió
Restricted access - publisher's policy
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