Predicting intraocular pressure using systemic variables or fundus photography with deep learning in a health examination cohort

The purpose of the current study was to predict intraocular pressure (IOP) using color fundus photography with a deep learning (DL) model, or, systemic variables with a multivariate linear regression model (MLM), along with least absolute shrinkage and selection operator regression (LASSO), support...

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Detalles Bibliográficos
Autores principales: Ishii, Kaori, Asaoka, Ryo, Omoto, Takashi, Mitaki, Shingo, Fujino, Yuri, Murata, Hiroshi, Onoda, Keiichi, Nagai, Atsushi, Yamaguchi, Shuhei, Obana, Akira, Tanito, Masaki
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/PMC7878799/
https://www.ncbi.nlm.nih.gov/pubmed/33574359
http://dx.doi.org/10.1038/s41598-020-80839-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878799/
https://www.ncbi.nlm.nih.gov/pubmed/33574359
http://dx.doi.org/10.1038/s41598-020-80839-4

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