| Registro completo |
| Provedor de dados: |
Acta biol.Colomb.
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| País: |
Colombia
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| Título: |
AUTOMATIC CLASSIFICATION OF STRUCTURAL MRI FOR DIAGNOSIS OF NEURODEGENERATIVE DISEASES
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| Autores: |
DÍAZ,GLORIA
ROMERO,EDUARDO
HERNÁNDEZ-TAMAMES,JUAN ANTONIO
MOLINA,VICENTE
MALPICA,NORBERTO
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| Data: |
2010-12-01
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| Ano: |
2010
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| Palavras-chave: |
Neurodegenerative disease
Structural MRI
Pattern classification
SPM
VBM
DARTEL
Support vector machines
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| 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.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-548X2010000300012
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| Editor: |
Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Biología
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| Formato: |
text/html
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| Fonte: |
Acta Biológica Colombiana v.15 n.3 2010
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| Direitos: |
info:eu-repo/semantics/openAccess
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