Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonance imaging with clinical valuation

In recent times, accurate and early diagnosis of Alzheimer's disease (AD) plays a vital role in patient care and further treatment. Predicting AD from mild cognitive impairment (MCI) and cognitive normal (CN) has become popular. Neuroimaging and computer-aided diagnosis techniques are used for...

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Detalles Bibliográficos
Autores principales: Basheera, Shaik, Sai Ram, M Satya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944731/
https://www.ncbi.nlm.nih.gov/pubmed/31921971
http://dx.doi.org/10.1016/j.trci.2019.10.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6944731/
https://www.ncbi.nlm.nih.gov/pubmed/31921971
http://dx.doi.org/10.1016/j.trci.2019.10.001

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