Deep learning automated detection of reticular pseudodrusen from fundus autofluorescence images or color fundus photographs in AREDS2.
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DOI: 10.1016/j.ophtha.2020.05.036
Abstract: PURPOSE To develop and evaluate deep learning models for detecting reticular pseudodrusen (RPD) using fundus autofluorescence (FAF) images or, alternatively, color fundus photographs (CFP), in the context of age-related macular degeneration (AMD). DESIGN Application of… read more here.
Keywords: versus range; accuracy; deep learning; model ... See more keywords