An evolutionary-fuzzy approach for supporting diagnosis and monitoring of Multiple Sclerosis (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• An evolutionary-fuzzy approach for supporting diagnosis and monitoring of Multiple Sclerosis (Contributo in atti di convegno) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/CIBEC.2010.5716081 (literal)

Alternative label

• Esposito Massimo; De Falco Ivanoe; De Pietro Giuseppe (2010)
  An evolutionary-fuzzy approach for supporting diagnosis and monitoring of Multiple Sclerosis
  in 5th Cairo International Conference on Biomedical Engineering (CIBEC 2010), Cairo, Egitto, 16-18 Dicembre 2010
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Esposito Massimo; De Falco Ivanoe; De Pietro Giuseppe (literal)

Pagina inizio

• 108 (literal)

Pagina fine

• 111 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 4 (literal)

Note

• INSPEC (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Institute for High Performance Computing and Networking, Italian National Research Council (ICAR-CNR), Naples, 80131, Italy (literal)

Titolo

• An evolutionary-fuzzy approach for supporting diagnosis and monitoring of Multiple Sclerosis (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4244-7168-3 (literal)

Abstract

• The diagnosis and monitoring of Multiple Sclerosis (MS) are very thorny tasks due to extremely variable and often quite subtle symptoms. The use of MR images as MS marker requires the expert's knowledge and intervention to classify MS lesions. In this respect, the paper proposes an evolutionary-fuzzy approach aimed at supporting the classification of lesions in the diagnosis and monitoring of MS. Such an approach consists in: i) the formalization of the expert's medical knowledge in terms of linguistic variables, linguistic values and fuzzy rules; ii) the implementation of a fuzzy inference technique to identify MS lesions and an evolutionary-fuzzy algorithm to tune the shapes of the membership functions for each linguistic variable involved in the rules. An experimental evaluation has been performed on 120 patients affected by MS (literal)

Editore

• IEEE, Institute of electrical and electronics engineers (Editore)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• IVANOE DE FALCO (Unità di personale interno)
• GIUSEPPE DE PIETRO (Unità di personale interno)
• MASSIMO ESPOSITO (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR di

• GIUSEPPE DE PIETRO (Unità di personale interno)
• IVANOE DE FALCO (Unità di personale interno)
• MASSIMO ESPOSITO (Persona)

Editore di

• IEEE, Institute of electrical and electronics engineers (Editore)