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Improving the Accuracy and Speed of Visual Field Testing in Glaucoma With Structural Information and Deep Learning
PURPOSE: To assess the performance of a perimetric strategy using structure–function predictions from a deep learning (DL) model. METHODS: Visual field test–retest data from 146 eyes (75 patients) with glaucoma with (median [5th–95th percentile]) 10 [7, 10] tests per eye were used. Structure–functio...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587851/ https://www.ncbi.nlm.nih.gov/pubmed/37831447 http://dx.doi.org/10.1167/tvst.12.10.10 |