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. 2021 Aug 21;11:79. doi: 10.1186/s13550-021-00809-3

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© The Author(s) 2021

Open AccessThis 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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Fig. 3 — Robust radiomic features. Percentage of stable features for each of the robustness studies, i.e. the interobserver delineation variability, PET/CT/PET/MR, and respiratory motion are depicted. For each robustness study, the percentage of stable features is shown for the four feature types: shape, intensity, texture and wavelet. The feature type with the highest stability differed between the studies, with the lowest stability in the delineation study being shape, and wavelet in the PET/CT / PET/MR and motion studies