WORC¶
Workflow for Optimal Radiomics Classification¶
WORC is an open-source python package for the easy execution of end-to-end radiomics pipelines.
We aim to establish a general radiomics platform supporting easy integration of other tools. With our modular build and support of different software languages (Python, MATLAB, R, executables etc.), we want to facilitate and stimulate collaboration, standardisation and comparison of different radiomics approaches. By combining this in a single framework, we hope to find an universal radiomics strategy that can address various problems.
WORC is open-source (licensed under the Apache 2.0 license) and hosted on Github at https://github.com/MStarmans91/WORC
For support, go to the issues on the Gibhub page: https://github.com/MStarmans91/WORC/issues
To get yourself a copy, see the Installation
The official documentation can be found at WORC.readthedocs.io
For Tutorials on WORC, both for beginner and advanced WORCflows, please
see our Tutorial repository https://github.com/MStarmans91/WORCTutorial.
The article on WORC is currently in press. WORC has been presented in the following:
WORC has been used in the following studies:
WORC is made possible by contributions from the following people: Martijn Starmans, Thomas Phil, and Stefan Klein
WORC Documentation¶
- Introduction
- Quick start guide
- User Manual
- Configuration
- Additional functionality
- Radiomics Features
- Developer documentation
- Resource File Formats
- Changelog
WORC User reference¶
WORC Developer Module reference¶
- WORC Package
WORC
PackageWORC
Moduleaddexceptions
Module- Subpackages