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Prediction of the Fundus Tessellation Severity With Machine Learning Methods
PURPOSE: To predict the fundus tessellation (FT) severity with machine learning methods. METHODS: A population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011. Participants underwent detailed ophthalmic examinations including fundus i...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960643/ https://www.ncbi.nlm.nih.gov/pubmed/35360710 http://dx.doi.org/10.3389/fmed.2022.817114 |