Moorfields nAMD Fellow-Eye Dataset
The Moorfields nAMD fellow-eye dataset is direct human retinal-disease longitudinal outcome data.
The Moorfields nAMD fellow-eye dataset is direct human retinal-disease longitudinal outcome data.
Anonymized clinical metadata and automated 3D OCT segmentation volumes for neovascular age-related macular degeneration.
Longitudinal quantitative OCT biomarkers and treatment-response variables for predicting visual acuity in neovascular AMD.
The de-identified 8,174-eye Moorfields AMD CSV is an explicitly released human longitudinal outcome resource.
400 macular OCT volumes; predict glaucoma Mean Deviation (MD, dB) from 24-2 Humphrey visual field test. Scalar regression task.
400 macular OCT volumes; predict 52-point Humphrey 24-2 visual field sensitivity map (0–100 dB per point). Multi-output regression.
400 macular OCT volumes; predict 52-point pattern deviation probability map from 24-2 Humphrey visual field test. Multi-output regression.