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. 2020 May 19;10:8242. doi: 10.1038/s41598-020-64803-w

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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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Mean, standard deviation (SD), and range of the SDI overlap scores against the Consensus Delineation for Hybrid, with cross-validation using two- and three-folds are shown in the top two rows. We also show the 95% confidence interval of the mean SDI. Hybrid 2-Folds is based on a two-fold cross validation from the results of DIAG, IMI, MV-CNN, and PVG One; Hybrid 3-Folds is the three-fold cross validation result from the same data. We train on $(n - 1)$ -folds and test on the n-fold; repeating this process by cycling through the various folds, with the combined results presented.