GIC-experimental-databases/OASIS VBM feature vectors

De Grupo de Inteligencia Computacional (GIC)
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Experimental database of features obtained from the VBM of a subset of the OASIS database for the classification of Alzheimer's Disease patients versus controls

Experimental database of features obtained from the VBM of a subset of the OASIS database for the classification of Alzheimer's Disease patients versus controls with example source code

Reference: A. Savio, M.T. García-Sebastián, D. Chyzyk, C. Hernandez, M. Graña, A. Sistiaga, A. López de Munain, J. Villanúa, Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI, Computers in Biology and Medicine, Volume 41, Issue 8, August 2011, Pages 600-610, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2011.05.010. (http://www.sciencedirect.com/science/article/pii/S0010482511001065) Keywords: Alzheimer's disease; Classification; Feature extraction; Structural MRI; Myotonic distrophy of type 1

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