Transfer Learning for Alzheimer’s Disease through Neuroimaging Biomarkers: A Systematic Review

Alzheimer’s disease (AD) is a remarkable challenge for healthcare in the 21st century. Since 2017, deep learning models with transfer learning approaches have been gaining recognition in AD detection, and progression prediction by using neuroimaging biomarkers. This paper presents a systematic revie...

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Detalles Bibliográficos
Autores principales: Agarwal, Deevyankar, Marques, Gonçalo, de la Torre-Díez, Isabel, Franco Martin, Manuel A., García Zapiraín, Begoña, Martín Rodríguez, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587338/
https://www.ncbi.nlm.nih.gov/pubmed/34770565
http://dx.doi.org/10.3390/s21217259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587338/
https://www.ncbi.nlm.nih.gov/pubmed/34770565
http://dx.doi.org/10.3390/s21217259

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