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An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis
PURPOSE: To detect visual field (VF) progression by analyzing spatial pattern changes. METHODS: We selected 12,217 eyes from 7360 patients with at least five reliable 24-2 VFs and 5 years of follow-up with an interval of at least 6 months. VFs were decomposed into 16 archetype patterns previously de...
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| Publicat a: | Invest Ophthalmol Vis Sci |
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| Autors principals: | , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Association for Research in Vision and Ophthalmology
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6348996/ https://ncbi.nlm.nih.gov/pubmed/30682206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.18-25568 |
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