Data/hora: 13/06/2024 07:08:00

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