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. 2022 Sep 9;5:138. doi: 10.1038/s41746-022-00674-x

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© The Author(s) 2022

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 — Only the ON/OFF accuracies for the hyperparameter combinations that yielded the best CNN and GAN discriminator performance are plotted. Models were tested with ten Study 1 development set subjects and nine Study 2 subjects. The ON/OFF accuracies of the in-person clinician rater are also plotted, alongside the performance of two human raters who assessed 25 Study 1 patients over video.