Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease-Reference-Cited by-同舟云学术

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Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

Published:2011-03 Issue:8 Volume:74 Page:1260-1271
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

López M.,Ramírez J.,Górriz J.M.,Álvarez I.,Salas-Gonzalez D.,Segovia F.,Chaves R.,Padilla P.,Gómez-Río M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference31 articles.

1. Classification of SPECT images of normal subjects versus images of Alzheimer's disease patients;Stoeckel,2001

2. J.M. Górriz, J. Ramírez, A. Lassl, D. Salas-Gonzalez, E.W. Lang, C.G. Puntonet, I. Álvarez, M. López, M. Gómez-Río, Automatic computer aided diagnosis tool using component-based SVM, in: IEEE Nuclear Science Symposium Conference Record, Medical Imaging Conference, 2008, pp. 4392–4395, dresden (Germany).

3. J. Ramírez, J. Górriz, D. Salas-Gonzalez, A. Romero, M. López, I. Álvarez, M. Gómez-Río, Computer-aided diagnosis of alzheimer's type dementia combining support vector machines and discriminant set of features, Information Sciences, accepted for publication, doi:10.1016/j.ins.2009.05.012

4. D. Salas-Gonzalez, J.M. Górriz, J. Ramírez, M. López, I.A. Illán, C.G. Puntonet, M. Gómez-Río, Analysis of SPECT brain images for the diagnosis of Alzheimer's disease using moments and support vector machines, Neuroscience Letters 461 (1) (2009) 60–64

5. SPECT image classification using random forests;Ramírez;Electronics Letters,2009

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