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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs |
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| Authors: | Felipe A. Medeiros Alessandro A. Jammal Atalie C. Thompson |
| Affiliation: | Vision, Imaging and Performance (VIP) Laboratory, Duke Eye Center and Department of Ophthalmology, Duke University, Durham, North Carolina |
| Abstract: | |
| Keywords: | CI confidence interval DL deep learning GEE generalized estimating equation ROC receiver operating characteristic RNFL retinal nerve fiber layer SAP standard automated perimetry SD spectral-domain |
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