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. 2020 Jan 8;11:130. doi: 10.1038/s41467-019-13922-8

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — The plot shows model performance in predicting ci-DME on the primary clinical validation set, as measured by AUC when cropped circular images are used to train and validate the model. The blue line indicates the performance when cropped circular images of different sizes (radius of multiples of disc diameter from 0.05 to 2.5) centered at the fovea are used; the green line indicates the corresponding performance when the crops are centered at the optic disc. (Inset) Image depicting some of the regions of different radii (0.05, 0.125, 0.25, 0.5, and 1 disc diameter) around the fovea and optic disc. Bottom panel: Fundus image, followed by a sample of the crops extracted by centering at the optic disc (green) and fovea (blue), with the extraction radius in multiples of disc diameter indicated in each crop. Error bars are 95% confidence interval using n = 2000 samples with replacement.