Detecting glaucoma from multi-modal data using probabilistic deep learning
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DOI: 10.3389/fmed.2022.923096
Abstract: Objective To assess the accuracy of probabilistic deep learning models to discriminate normal eyes and eyes with glaucoma from fundus photographs and visual fields. Design Algorithm development for discriminating normal and glaucoma eyes using data… read more here.
Keywords: fundus photographs; glaucoma; probabilistic deep; learning ... See more keywords