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

Abstract 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),...

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Autores principales: Kaori Ishii, Ryo Asaoka, Takashi Omoto, Shingo Mitaki, Yuri Fujino, Hiroshi Murata, Keiichi Onoda, Atsushi Nagai, Shuhei Yamaguchi, Akira Obana, Masaki Tanito
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b2680dd513714f27bb02f72b461817bc
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