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Reference MATLAB and Python implementations of the RADISTAT algorithm

License: BSD 3-Clause Clear License

Python 11.28% Jupyter Notebook 56.56% MATLAB 31.88% Dockerfile 0.28%
matlab python radiomics feature-extraction itcr computational-imaging radiomics-features radiomics-feature-extraction cancer-imaging-research spatial

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radistat's Issues

Question

Hello, I read your paper. That is excellent. But I have a question, how can we get the feature_map.mha and the mask.mha.
I would be very grateful if you reply.

Incorrect file versions

Following the demo line-by-line in the python implementation results in errors

  • radistat.py appears to be drawing from scikit-learn.segmentation.slic rather than slic_supervoxels.slic
  • ^ because of this, there are incorrect arguments passed to slic() in radistat.py
  • the demo showcases a 2D slice but the code base is not setup to handle 2D instances

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