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. 2023 Feb 4;50(6):1607–1620. doi: 10.1007/s00259-023-06127-1

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© The Author(s) 2023

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. 4 — Aggregated high-ranking features in glioma (A), lung (B), and prostate (C) cohorts across radiomics features extracted by four delineation approaches utilized. Feature names are composed of the modality (PET, CT) type, followed by the IBSI-standard feature identified [9]. Feature occurrences (y-axis) are in the range of 0–100 with units of %. Ext-B—extended binary; Ref-B—reference binary; Ext-F—extended fuzzy; Ref-F—reference fuzzy delineation