Multimodal deep learning models for early detection of Alzheimer’s disease stage

Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of multiple data modalities can provide a holistic view of AD staging analysis. Thus, we use deep learning (DL) to integrally analyze imaging (m...

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Detalles Bibliográficos
Autores principales: Venugopalan, Janani, Tong, Li, Hassanzadeh, Hamid Reza, Wang, May D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864942/
https://www.ncbi.nlm.nih.gov/pubmed/33547343
http://dx.doi.org/10.1038/s41598-020-74399-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864942/
https://www.ncbi.nlm.nih.gov/pubmed/33547343
http://dx.doi.org/10.1038/s41598-020-74399-w

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