https://github.com/Radiomics/pyradiomics
Revision 9914251224c93245f5ebe497385dcec0dba7ee1e authored by Joost van Griethuysen on 08 March 2018, 10:37:27 UTC, committed by Joost van Griethuysen on 14 March 2018, 14:59:34 UTC
Uses spherical harmonics implemented in `scipy` and defines an icosphere (implemented in `trimesh`) to sample neighbours. Derived images are returned for each level, with an additional derived image for the kurtosis.

To reduce computation time/cost, LBP is only calculated for voxels included in the segmentation. To implement this, the signature
of a filter function is changed (in addition to the image, the mask is also passed to the function). Update the examples, feature extractor and
documentation accordingly.
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Tip revision: 9914251224c93245f5ebe497385dcec0dba7ee1e authored by Joost van Griethuysen on 08 March 2018, 10:37:27 UTC
ADD: Add 3D implementation of Local Binary Pattern
Tip revision: 9914251
requirements-dev.txt
nose>=1.3.7
nose-parameterized>=0.5.0
flake8
flake8-import-order
sphinx>=1.4
sphinx_rtd_theme>=0.2.2
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