Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia

The clock drawing test (CDT) is an inexpensive tool to screen for dementia. In this study, we examined if a variational autoencoder (VAE) with only two latent variables can capture and encode clock drawing anomalies from a large dataset of unannotated CDTs (n = 13,580) using self-supervised pre-trai...

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Detalles Bibliográficos
Autores principales: Bandyopadhyay, Sabyasachi, Dion, Catherine, Libon, David J., Price, Catherine, Tighe, Patrick, Rashidi, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107463/
https://www.ncbi.nlm.nih.gov/pubmed/35568709
http://dx.doi.org/10.1038/s41598-022-12024-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107463/
https://www.ncbi.nlm.nih.gov/pubmed/35568709
http://dx.doi.org/10.1038/s41598-022-12024-8

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