# Look for suggestions - how to get IBSI-compliant version of pyradiomics

**URL:** <https://discourse.slicer.org/t/look-for-suggestions-how-to-get-ibsi-compliant-version-of-pyradiomics/36044>\
**Category:** Support\
**Created:** [May 10, 2024, 5:14am UTC](https://discourse.slicer.org/t/look-for-suggestions-how-to-get-ibsi-compliant-version-of-pyradiomics/36044 "2024-05-10T05:14:26Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![linux64](https://avatars.discourse-cdn.com/v4/letter/l/e95f7d/32.png) [@linux64](https://discourse.slicer.org/u/linux64)\
**Post date:** [May 10, 2024, 5:14am UTC](https://discourse.slicer.org/t/look-for-suggestions-how-to-get-ibsi-compliant-version-of-pyradiomics/36044/1 "2024-05-10T05:14:26Z")

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Dear All,

One comment from reviewer for my radiomic paper is: “According to their documentation, the fixed bin width method implemented in pyradiomics is not compliant with the IBSI reference standard. This has been found to lead to issues regarding robustness [2] (2. Wright DE, Cook C, Klug J, Korfiatis P, Kline TL. Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning. arXiv [eess.IV]. 2022. doi:10.48550/arXiv.2211.05241 - attached in email). Please use an IBSI-compliant version of pyradiomics or a different software.”

The document in Pyradiomics is: [Frequently Asked Questions — pyradiomics v3.1.0rc2.post5+g6a761c4 documentation](https://pyradiomics.readthedocs.io/en/latest/faq.html)

So how could I look for IBSI-compliant version of pyradiomics?

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**Author:** ![pieper](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/pieper/32/8_2.png) [@pieper](https://discourse.slicer.org/u/pieper)\
**Post date:** [May 10, 2024, 11:25am UTC](https://discourse.slicer.org/t/look-for-suggestions-how-to-get-ibsi-compliant-version-of-pyradiomics/36044/2 "2024-05-10T11:25:50Z")

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I don’t think there is one, but you could ask here: [GitHub - AIM-Harvard/pyradiomics: Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics](https://github.com/AIM-Harvard/pyradiomics)