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GitHub / didymo / OnkoDICOM
OnkoDICOM was created with Radiation Oncologists to allow Radiation Oncologists to do research on DICOM standard image sets (DICOM-RT, CT, MRI, PET) using open source technologies, such as pydicom, dicompyler-core, PySide6, PIL, and matplotlib. OnkoDICOM is cross platform, open source software, and welcomes contributions. OnkoDICOM was inspired by dicompyler.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/didymo%2FOnkoDICOM
Stars: 57
Forks: 41
Open Issues: 13
License: lgpl-2.1
Language: Python
Repo Size: 180 MB
Dependencies:
150
Created: over 4 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Commit Stats
Commits: 1847
Authors: 57
Mean commits per author: 32.4
Development Distribution Score: 0.849
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/didymo/OnkoDICOM
Files
Dependencies
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pylint * develop
- pytest * develop
- pytest-black * develop
- pytest-cov * develop
- pytest-isort * develop
- pytest-mypy * develop
- pytest-pylint * develop
- PyWavelets ^1.1.1
- alphashape *
- country-list *
- cython *
- dicompyler-core *
- fuzzywuzzy *
- imblearn *
- kaplanmeier *
- matplotlib *
- networkx *
- numpy *
- opencv-python *
- pandas *
- platipy 0.2.1
- pydicom *
- pyinstaller ^5.5
- pymedphys >=0.35,<=0.37.1
- pyradiomics *
- pyside6 6.3.0
- pytest *
- pytest-qt >=4.0.2
- python >=3.8,<3.11
- python-Levenshtein *
- scikit-build *
- scikit-image *
- scikit-learn *
- scipy *
- shapely >=1.8.1
- vtk *