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. 2020 Nov 23;10:20407. doi: 10.1038/s41598-020-76989-0

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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 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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ROC curves and the boxplot. Note From ROC curves, all the area under the ROC curve values of these representative radiomics features in discriminating cervical junctional zone from outer muscular layer in leiomyoma patients were higher with intensity normalization than those without intensity normalization. And the boxplot showed that all the CV values were lower with intensity normalization than those without intensity normalization among these common representative radiomics features. Feature A: GLCMEntropy_angle90_offset4; Feature B: GLCMEntropy_AllDirection_offset7; Feature C: GLCMEntropy_angle135_offset1; Feature D: RunLengthNonuniformity_angle90_offset1; Feature E: histogram Energy/Entropy.