Article

Deep learning of fundus and optical coherence tomography images enables identification of diverse genetic and environmental factors associated with eye aging

2021-06-29

Abstract excerpt

<h4>Background</h4> The rate at which different portions of the eye ages can be measured using eye fungus and optical coherence tomography (OCT) images; however, their genetic and environmental contributors have been elusive. <h4>Methods</h4> We built an eye age predictor by training convolutional neural networks to predict age from 175,000 eye fundus and OCT images from participants of the UK Biobank cohort, capt...

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Literature Corpus work: a517e783-ec0d-5714-a3e6-0ec9d94e54c3
DOI: 10.1101/2021.06.24.21259471

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