Data from: Quantifying changes on optical coherence tomography in eyes receiving treatment for neovascular age-related macular degeneration
Version 1Purpose Application of artificial intelligence (AI) to macular optical coherence tomography (OCT) scans to segment and quantify volumetric change of anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD). Design Retrospective analysis of OCT images from the Eye Hospital AMD Database. Participants 2115 eyes from 1883 patients that started anti-vascular endothelial growth factor (anti-VEGF) treatment between 1st June 2012 and
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Purpose Application of artificial intelligence (AI) to macular optical coherence tomography (OCT) scans to segment and quantify volumetric change of anatomical and pathological features during intravitreal treatment for neovascular age-related macular degeneration (AMD). Design Retrospective analysis of OCT images from the Eye Hospital AMD Database. Participants 2115 eyes from 1883 patients that started anti-vascular endothelial growth factor (anti-VEGF) treatment between 1st June 2012 and