An Ontology Approach for Classification of Abnormal White Matter in Patients with Multiple Sclerosis (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• An Ontology Approach for Classification of Abnormal White Matter in Patients with Multiple Sclerosis (Articolo in rivista) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

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

• 10.1007/978-3-540-76805-0_34 (literal)

Alternative label

• Bruno Alfano; Arturo Brunetti; Giuseppe De Pietro; Amalia Esposito. (2007)
  An Ontology Approach for Classification of Abnormal White Matter in Patients with Multiple Sclerosis
  in Lecture notes in computer science
  (literal)

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

• Bruno Alfano; Arturo Brunetti; Giuseppe De Pietro; Amalia Esposito. (literal)

Pagina inizio

• 389 (literal)

Pagina fine

• 402 (literal)

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

• 4799/2007 (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• Scopu (literal)

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

• National Research Council (CNR) Biostructure and Bioimaging Institute (IBB) via Pansini 5 - 80131 - Napoli, Italy University \"Federico II\" Department of Biomorphological and Functional Sciences via Pansini 5 - 80131 - Napoli, Italy National Research Council (CNR) Institute for High-Performance Computing and Networking (ICAR) via Pietro Castellino 111 - 80131 - Napoli, Italy (literal)

Titolo

• An Ontology Approach for Classification of Abnormal White Matter in Patients with Multiple Sclerosis (literal)

Abstract

• Multiple Sclerosis (MS) is an inflammatory autoimmune disease of the Central Nervous System, characterized by development of lesions that cause interference in the communication between brain and the rest of the body. Some techniques using numeric algorithms based on mathematical and probabilistic theories are generally used in order to obtain lesions detection. In this paper we describe an innovative approach for lesions recognition to be applied after segmentation of brain tissues from quantitive evaluation of MR studies. Knowledge about MS lesions is formalized through an ontology and a set of rules: integrating them, automatic inferences can be realized to point out lesions, starting from data about potentially brain abnormal white matter. (literal)

Prodotto di

• Institute of biostructure and bioimaging (IBB) (Istituto)
• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• ARTURO BRUNETTI (Unità di personale esterno)
• GIUSEPPE DE PIETRO (Unità di personale interno)
• BRUNO ALFANO (Unità di personale interno)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Institute of biostructure and bioimaging (IBB) (Istituto)

Autore CNR di

• GIUSEPPE DE PIETRO (Unità di personale interno)
• ARTURO BRUNETTI (Unità di personale esterno)
• BRUNO ALFANO (Unità di personale interno)

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

• Lecture notes in computer science (Rivista)