Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images

Discussion: This is the first study, to our knowledge, applying machine learning methods to GA segmentation on color fundus images and using AREDS imagery for testing. These preliminary results show promising evidence that machine learning methods may have utility in automated characterization of GA from color fundus images.