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Rule-based assistance to brain tumour diagnosis using LR-FIR
dc.contributor.author | Nebot Castells, M. Àngela |
dc.contributor.author | Castro Espinoza, Félix Agustín |
dc.contributor.author | Vellido Alcacena, Alfredo |
dc.contributor.author | Julià Sapé, Margarida |
dc.contributor.author | Arús, Carles |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2011-07-28T09:34:54Z |
dc.date.available | 2011-07-28T09:34:54Z |
dc.date.created | 2009-01-31 |
dc.date.issued | 2009-01-31 |
dc.identifier.citation | Nebot, 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. |
dc.identifier.isbn | 978-0-9561516-0-5 |
dc.identifier.uri | http://hdl.handle.net/2117/13070 |
dc.description.abstract | 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. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Future Technology Press |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject.lcsh | Brain tumors |
dc.subject.lcsh | Decision support systems |
dc.subject.other | Rule extraction |
dc.subject.other | Fuzzy Inductive Reasoning |
dc.subject.other | Brain tumours |
dc.subject.other | Magnetic Resonance Spectroscopy |
dc.subject.other | Medical decision support systems |
dc.title | Rule-based assistance to brain tumour diagnosis using LR-FIR |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Cervell -- Tumors |
dc.subject.lemac | Sistemes d'ajuda a la decisió |
dc.contributor.group | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.relation.publisherversion | http://cataleg.upc.edu/record=b1348824~S1*cat |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 1671771 |
dc.description.version | Postprint (published version) |
local.citation.author | Nebot, A.; Castro, F.; Vellido, A.; Julià, M.; Arús, C. |
local.citation.publicationName | Investigating human cancer with computational intelligence techniques |
local.citation.startingPage | 83 |
local.citation.endingPage | 92 |
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