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Rule-based assistance to brain tumour diagnosis using LR-FIR

Autor
Nebot, M.; Castro, F.; Vellido, A.; Julià, M.; Arús, C.
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2008-09
Volum
5178
Pàgina inicial
173
Pàgina final
180
DOI
https://doi.org/10.1007/978-3-540-85565-1_22 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/10945 Obrir en finestra nova
Resum
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 group...
Citació
Nebot, M. [et al.]. Rule-based assistance to brain tumour diagnosis using LR-FIR. "Lecture notes in computer science", Setembre 2008, vol. 5178, p. 173-180.
Paraules clau
Rule Extraction, Fuzzy Inductive Reasoning, Brain Tumours, Magnetic Resonance Spectroscopy, Medical Decision Support Systems
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

Participants