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. 2020 Jul 23;10:12340. doi: 10.1038/s41598-020-69298-z

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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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Balanced accuracies obtained for the tumour grade classification task using the 18 first-order features only. Bar plots and associated error bars represent the average balanced accuracies and the 95% CIs obtained using all 5 test folds of the cross-validation of the 5 machine learning models as a function of the normalization method, respectively. (A) T1w-gd MRI sequence only, (B) T2w-flair MRI sequence only.