Automated Classification to Predict the Progression of Alzheimer's Disease Using Whole-Brain Volumetry and DTI

OBJECTIVE: This study proposes an automated diagnostic method to classify patients with Alzheimer's disease (AD) of degenerative etiology using magnetic resonance imaging (MRI) markers. METHODS: Twenty-seven patients with subjective memory impairment (SMI), 18 patients with mild cognitive impai...

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Detalles Bibliográficos
Autores principales: Jung, Won Beom, Lee, Young Min, Kim, Young Hoon, Mun, Chi-Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2015
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310927/
https://www.ncbi.nlm.nih.gov/pubmed/25670951
http://dx.doi.org/10.4306/pi.2015.12.1.92

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310927/
https://www.ncbi.nlm.nih.gov/pubmed/25670951
http://dx.doi.org/10.4306/pi.2015.12.1.92

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