Ensemble learning using traditional machine learning and deep neural network for diagnosis of Alzheimer’s disease

In recent years, Alzheimer’s disease (AD) diagnosis using neuroimaging and deep learning has drawn great research attention. However, due to the scarcity of training neuroimaging data, many deep learning models have suffered from severe overfitting. In this study, we propose an ensemble learning fra...

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Detalles Bibliográficos
Autores principales: Nguyen, Dong, Nguyen, Hoang, Ong, Hong, Le, Hoang, Ha, Huong, Duc, Nguyen Thanh, Ngo, Hoan Thanh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles from the Scientific Contributions and Advances by Asia-Pacific IBRO Alumni; Edited by Huong Ha
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795286/
https://www.ncbi.nlm.nih.gov/pubmed/36590098
http://dx.doi.org/10.1016/j.ibneur.2022.08.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795286/
https://www.ncbi.nlm.nih.gov/pubmed/36590098
http://dx.doi.org/10.1016/j.ibneur.2022.08.010

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