PBT-Gym

This python package provides tools to help gamify proton beam therapy treatment planning for applications in a reinforcement learning environment.

Warning

This code base is continuously being developed to add new features. For the newest version, changelog, documentation and support please check updates of the code at https://github.com/PRECISE-RT/PBT-Gym.

Installations

pip install gym
pip install pydicom
pip install numpy
pip install matplotlib
pip install stablebaselines3
pip install torch
pip install cv2

Getting Started

Check out our basics tutorial for an overview of what tools are being used in this project.

Further getting started guidance is being developed.

Contribute

We welcome anyone wishing to expand the functionality of the PBT-Gym project. Therefore, if you wish to contribute to the project please see our contributing guidelines.

Contributors

• Robbie Chambers - MPhys Contributor: Project initiator
• Huw McNally - MPhys Contributor: Project initiator
• Sam Ingram - Project Supervisor

License

This package is licensed open-source under the GNU GENERAL PUBLIC LICENSE Version 3.