Support vector machine-based classification of neuroimages in Alzheimer’s disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals

Objective: To conduct the first support vector machine (SVM)-based study comparing the diagnostic accuracy of T1-weighted magnetic resonance imaging (T1-MRI), F-fluorodeoxyglucose-positron emission tomography (FDG-PET) and regional cerebral blood flow single-photon emission computed tomography (rCBF...

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Detalhes bibliográficos
Autor principal: Ferreira,Luiz K. (author)
Outros Autores: Rondina,Jane M. (author), Kubo,Rodrigo (author), Ono,Carla R. (author), Leite,Claudia C. (author), Smid,Jerusa (author), Bottino,Cassio (author), Nitrini,Ricardo (author), Busatto,Geraldo F. (author), Duran,Fabio L. (author), Buchpiguel,Carlos A. (author)
Formato: article
Idioma:eng
Publicado em: 2018
Assuntos:
Alzheimer’s disease
support vector machine
MRI
FDG-PET
SPECT
Texto completo:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462018000200181
País:Brasil
Oai:oai:scielo:S1516-44462018000200181

Texto Completo

http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462018000200181

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