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 (2018)
- Authors:
- USP affiliated authors: LEITE, CLAUDIA DA COSTA - FM ; NITRINI, RICARDO - FM ; BUSATTO FILHO, GERALDO - FM ; BUCHPIGUEL, CARLOS ALBERTO - FM
- Unidade: FM
- DOI: 10.1590/1516-4446-2016-2083
- Subjects: TOMOGRAFIA COMPUTADORIZADA POR EMISSÃO DE PÓSITRON; DOENÇA DE ALZHEIMER; DIAGNÓSTICO POR IMAGEM
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Revista brasileira de psiquiatria
- ISSN: 1516-4446
- Volume/Número/Paginação/Ano: v. 40, n. 2, p. 181-191, 2018
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc
-
ABNT
FERREIRA, Luiz K et al. 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. Revista brasileira de psiquiatria, v. 40, n. 2, p. 181-191, 2018Tradução . . Disponível em: https://doi.org/10.1590/1516-4446-2016-2083. Acesso em: 20 abr. 2024. -
APA
Ferreira, L. K., Leite, C. C., Bottino, C., Nitrini, R., Busatto, G. F., & Buchpiguel, C. A. (2018). 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. Revista brasileira de psiquiatria, 40( 2), 181-191. doi:10.1590/1516-4446-2016-2083 -
NLM
Ferreira LK, Leite CC, Bottino C, Nitrini R, Busatto GF, Buchpiguel CA. 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 [Internet]. Revista brasileira de psiquiatria. 2018 ; 40( 2): 181-191.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1590/1516-4446-2016-2083 -
Vancouver
Ferreira LK, Leite CC, Bottino C, Nitrini R, Busatto GF, Buchpiguel CA. 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 [Internet]. Revista brasileira de psiquiatria. 2018 ; 40( 2): 181-191.[citado 2024 abr. 20 ] Available from: https://doi.org/10.1590/1516-4446-2016-2083 - Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: a comparison across functional and structural imaging modalities and atlases
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Informações sobre o DOI: 10.1590/1516-4446-2016-2083 (Fonte: oaDOI API)
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