ENH: Add support for using a fixed bin count #386
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JoostJM
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I have to say, as a user, I could be confused reconciling the guidelines from IBSI (see below from v6 p.12) and strong recommendation not to use fixed bin number in pyradiomics.
In any case, good to see this feature, since we had questions about it several times now! |
JoostJM
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In most literature on Radiomics to date, gray value discretization is done using either a fixed bin count or a fixed bin width. Although there is consensus on the need for discretization prior to texture-feature calculation, there is no definitive evidence favouring either the fixed bin count or fixed bin width method in a general application. There is some literature available showing a better reproducibility using a fixed bin width for features extracted from PET imaging. On the other hand, in many studies a fixed bin count is used. At PyRadiomics, we recommend using a fixed bin width, but implement a fixed bin count for completeness. See [this FAQ topic](http://pyradiomics.readthedocs.io/en/latest/faq.html#radiomics_fixed_bin_width) for a more detailed explanation of our rationale for recommending usage of a fixed bin width. Additionally, update the documentation to reflect the new voxel-based extraction functionality.
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For extra compatibility allow user to extract using a fixed bincount.
Include a warning when fixed bincount is used to show the recommendation for a fixed bin width.
See this FAQ topic for more details.