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. 2021 Mar 8;4:44. doi: 10.1038/s41746-021-00411-w

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© The Author(s) 2021

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. 3 — 100 of the 390 test set patients were selected for comparison with clinician performance. The remaining 290 patients were used to compute the SLIVER-net threshold, which was selected to match the mean sensitivity of the annotators. For Subretinal Drusenoid Deposits and Intraretinal HRF, SLIVER-net displays a similar sensitivity to clinicians while operating at fewer false positives.