Table_1_Detecting glaucoma from multi-modal data using probabilistic deep learning.docx

ObjectiveTo assess the accuracy of probabilistic deep learning models to discriminate normal eyes and eyes with glaucoma from fundus photographs and visual fields.DesignAlgorithm development for discriminating normal and glaucoma eyes using data from multicenter, cross-sectional, case-control study.Subjects and participantsFundus photograph and visual field data from 1,655 eyes of 929 normal and glaucoma subjects to develop and test deep learning models and an independent group of 196 eyes of 98

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