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-Reference-Cited by-同舟云学术

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

Published:2017-10-02 Issue:2 Volume:40 Page:181-191
ISSN:1809-452X
Container-title:Revista Brasileira de Psiquiatria
language:
Short-container-title:Rev. Bras. Psiquiatr.

Author:

Ferreira Luiz K.¹,Rondina Jane M.²,Kubo Rodrigo³,Ono Carla R.⁴,Leite Claudia C.³,Smid Jerusa³,Bottino Cassio³,Nitrini Ricardo³,Busatto Geraldo F.⁵,Duran Fabio L.¹,Buchpiguel Carlos A.⁶

Affiliation:

1. Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil

2. Universidade de São Paulo, Brazil; University College London, United Kingdom

3. Universidade de São Paulo, Brazil

4. Universidade de São Paulo, Brazil; Hospital do Coração da Associação Sanatório Sírio, Brazil

5. Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil

6. Universidade de São Paulo, Brazil; Universidade de São Paulo, Brazil; Hospital do Coração da Associação Sanatório Sírio, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Psychiatry and Mental health

Link

http://www.scielo.br/pdf/rbp/v40n2/1516-4446-rbp-1516444620162083.pdf

Reference56 articles.

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3. Positron emission tomography and single-photon emission computed tomography in central nervous system drug development;Brooks DJ;NeuroRx,2005

4. Role of neuroimaging in Alzheimer's disease, with emphasis on brain perfusion SPECT;Matsuda H;J Nucl Med,2007

5. Voxel-based morphometry in Alzheimer's disease;Busatto GF;Expert Rev Neurother,2008

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