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. 2021 Oct 14;11:20384. doi: 10.1038/s41598-021-99986-3

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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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Dataset Characteristics. Entire dataset comprised of Non-COVID (n = 284,904) and COVID-19 (n = 29,138) cohorts. Images in the non-COVID cohort (collected between February 2008 and December 2019) were used to pre-train all classifiers and generate Projection and Body Part classifiers, as well as the Lung and Heart Segmentation model. Images in the COVID-19 cohort (collected between March 2020 and September 2020) have undergone rigorous Quality Control process and were used to train and test the COVID-19 Ensemble.