Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.
Journal:
American journal of ophthalmology
PMID:
33422464
Abstract
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Authors
Keywords
Aged
Aged, 80 and over
Angiogenesis Inhibitors
Choroidal Neovascularization
Deep Learning
Female
Geographic Atrophy
Humans
Intravitreal Injections
Male
Middle Aged
Models, Statistical
Neural Networks, Computer
Ranibizumab
Receptors, Vascular Endothelial Growth Factor
Recombinant Fusion Proteins
Retinal Drusen
ROC Curve
Sensitivity and Specificity
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A
Visual Acuity
Wet Macular Degeneration