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. 2020 Mar 2;10:3852. doi: 10.1038/s41598-020-60868-9

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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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Alterations in the GLRLM according to image and image processing conditions. (a) The probability in the GLRLM was distributed mostly in the upper rows as the run length of the original CT image was 3 or less. The distribution was most concentrated with mean ± 3 SD, followed by min-max, and mean ± 2 SD. Low SNR dispersed the probability distribution. The addition of outliers concentrated the distribution and shifted it to the left with the min‒max quantization range. (b) Increasing the bin number segmented the probability distribution while maintaining the overall shape.