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.
1 parent 8777b55
Tip revision: 9914251224c93245f5ebe497385dcec0dba7ee1e authored by Joost van Griethuysen on 08 March 2018, 10:37:27 UTC
ADD: Add 3D implementation of Local Binary Pattern
ADD: Add 3D implementation of Local Binary Pattern
Tip revision: 9914251
| File | Mode | Size |
|---|---|---|
| .circleci | ||
| bin | ||
| data | ||
| docker | ||
| docs | ||
| examples | ||
| hooks | ||
| notebooks | ||
| radiomics | ||
| tests | ||
| .dockerignore | -rw-r--r-- | 6 bytes |
| .editorconfig | -rw-r--r-- | 440 bytes |
| .flake8 | -rw-r--r-- | 1.1 KB |
| .gitattributes | -rw-r--r-- | 35 bytes |
| .gitignore | -rw-r--r-- | 763 bytes |
| .travis.yml | -rw-r--r-- | 811 bytes |
| CHANGES.rst | -rw-r--r-- | 28.8 KB |
| CONTRIBUTING.rst | -rw-r--r-- | 5.8 KB |
| Dockerfile | -rw-r--r-- | 3.0 KB |
| LICENSE.txt | -rw-r--r-- | 1.4 KB |
| MANIFEST.in | -rw-r--r-- | 395 bytes |
| README.md | -rw-r--r-- | 6.9 KB |
| appveyor.yml | -rw-r--r-- | 883 bytes |
| requirements-dev.txt | -rw-r--r-- | 101 bytes |
| requirements-setup.txt | -rw-r--r-- | 13 bytes |
| requirements.txt | -rw-r--r-- | 77 bytes |
| scikit-ci.yml | -rw-r--r-- | 1.7 KB |
| setup.cfg | -rw-r--r-- | 182 bytes |
| setup.py | -rw-r--r-- | 3.3 KB |
| versioneer.py | -rw-r--r-- | 67.0 KB |
Computing file changes ...
