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. 2020 Feb 27;10:3625. doi: 10.1038/s41598-020-60202-3

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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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Overview of the process of feature extraction via Pyradiomics. First, medical images and segmentation masks are loaded into the software. This step allows to select the region of the tumour. Then, after filters have been applied to the original image, radiomic features are extracted from the ROI of the resultant images.