Data/hora: 12/06/2024 13:56:58

Provedor de dados: 	37	
País: 	Colombia	
Título: 	AUTOMATIC CLASSIFICATION OF STRUCTURAL MRI FOR DIAGNOSIS OF NEURODEGENERATIVE DISEASES	
Autores: 	DÍAZ,GLORIA; ROMERO,EDUARDO; HERNÁNDEZ-TAMAMES,JUAN ANTONIO; MOLINA,VICENTE; MALPICA,NORBERTO.	
Data: 	2010-12-01	
Ano: 	2010	
Palavras-chave: 	Neurodegenerative disease; Structural MRI; Pattern classification; SPM; VBM; DARTEL; Support vector machines.	
Resumo: 	This paper presents an automatic approach which classifies structural Magnetic Resonance images into pathological or healthy controls. A classification model was trained to find the boundaries that allow to separate the study groups. The method uses the deformation values from a set of regions, automatically identified as relevant, in a process that selects the statistically significant regions of a t-test under the restriction that this significance must be spatially coherent within a neighborhood of 5 voxels. The proposed method was assessed to distinguish healthy controls from schizophrenia patients. Classification results showed accuracy between 74% and 89%, depending on the stage of the disease and number of training samples.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-548X2010000300012	
Editor: 	Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Biología	
Formato: 	text/html	
Fonte: 	Acta Biológica Colombiana  v.15 n.3 2010	
Fonte: 	info:eu-repo/semantics/openAccess