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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |