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GitHub / as565 / 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/as565%2FOnkoDICOM
Fork of didymo/OnkoDICOM
Stars: 1
Forks: 1
Open Issues: 0
License: lgpl-2.1
Language: Python
Repo Size: 179 MB
Dependencies:
67
Created: almost 2 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
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 <=4.5.3.56
- pandas *
- platipy 0.2.1
- pydicom *
- pyinstaller ^5.5
- pymedphys >=0.35,<=0.37.1
- pyradiomics *
- pyside6 6.2.0
- pytest *
- pytest-qt >=4.0.2
- python >=3.8,<3.11
- python-Levenshtein *
- scikit-build *
- scikit-image *
- scipy *
- shapely >=1.8.1
- sklearn *
- vtk *
- PyWavelets ==1.1.1
- alphashape *
- country-list *
- dataclasses ==0.7
- dicompyler-core *
- fuzzywuzzy *
- imblearn *
- kaplanmeier *
- matplotlib *
- networkx *
- opencv-python <=4.5.3.56
- pandas *
- pydicom *
- pymedphys >=0.35,<=0.37.1
- pyradiomics *
- pyside6 ==6.1.2
- python-Levenshtein *
- scikit-build *
- scikit-image *
- scipy *
- shapely ==1.8a3
- sklearn *
- vtk *