A deep learning ensemble segments geographic atrophy in color fundus images with human-level Dice scores and reveals that atrophy area grows quadratically up to about 12 mm² before growth slows.
Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta- analysis
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A deep learning model for segmentation of geographic atrophy to study its long-term natural history
A deep learning ensemble segments geographic atrophy in color fundus images with human-level Dice scores and reveals that atrophy area grows quadratically up to about 12 mm² before growth slows.