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Fuzzy approach to grade gliomas using susceptibility-weighted images. A preliminary study
| dc.contributor.author | Aymerich Martínez, Francisco Javier |
| dc.contributor.author | Auger, Cristina |
| dc.contributor.author | García, Julio |
| dc.contributor.author | Martínez Sáez, Elena |
| dc.contributor.author | Martínez Ricarte, Francisco |
| dc.contributor.author | Corral, Juan Francisco |
| dc.contributor.author | Rovira, Alex |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| dc.date.accessioned | 2019-04-02T15:23:13Z |
| dc.date.available | 2019-04-02T15:23:13Z |
| dc.date.issued | 2018 |
| dc.identifier.citation | Aymerich, F.X. [et al.]. Fuzzy approach to grade gliomas using susceptibility-weighted images. A preliminary study. A: IEEE World Congress on Computational Intelligence. "2018 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2018: Rio de Janeiro, Brazil, July 8-13, 2018". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6. |
| dc.identifier.isbn | 978-1-5090-6020-7 |
| dc.identifier.uri | http://hdl.handle.net/2117/131137 |
| dc.description.abstract | This paper describes a method to grade gliomas examined by magnetic resonance imaging. It is a preliminary study focused only on the features extracted from susceptibility-weighted images. The proposed method involves fusion of classifiers based on decision trees designed using fuzzy techniques. The favorable results indicate that the fuzzy approach may be of particular value for grading gliomas. |
| dc.format.extent | 6 p. |
| dc.language.iso | eng |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
| dc.subject.lcsh | Magnetic resonance imaging |
| dc.subject.lcsh | Diagnostic imaging |
| dc.title | Fuzzy approach to grade gliomas using susceptibility-weighted images. A preliminary study |
| dc.type | Conference lecture |
| dc.subject.lemac | Imatgeria per ressonància magnètica |
| dc.subject.lemac | Tumors -- Diagnòstic |
| dc.subject.lemac | Imatgeria per al diagnòstic |
| dc.contributor.group | Universitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy |
| dc.identifier.doi | 10.1109/FUZZ-IEEE.2018.8491475 |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8491475 |
| dc.rights.access | Open Access |
| local.identifier.drac | 23939084 |
| dc.description.version | Postprint (author's final draft) |
| local.citation.author | Aymerich, F.X.; Auger, C.; García, J.; Martínez, E.; Martínez, F.; Corral, J.; Rovira, A. |
| local.citation.contributor | IEEE World Congress on Computational Intelligence |
| local.citation.publicationName | 2018 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2018: Rio de Janeiro, Brazil, July 8-13, 2018 |
| local.citation.startingPage | 1 |
| local.citation.endingPage | 6 |
