Scikit-rt provides tools for loading, plotting, and analysing radiotherapy data in DICOM and NIfTI formats. It includes image registration via elastix and NiftyReg, single- and multi-atlas segmentation, and region-of-interest (ROI) comparisons.

Documentation: https://scikit-rt.github.io/scikit-rt/
Code repository: https://github.com/scikit-rt/scikit-rt/
PyPI project page: https://pypi.org/project/scikit-rt/

This work was supported by Cancer Research UK RadNet Cambridge [C17918/A28870].

1. Documentation and support
2. Installation
3. Scikit-rt by examples
4. Usage and data model
5. Images
6. Regions of interest and structure sets
7. Patients and studies
8. Synthetic data
9. Image registration
10. Keyboard shortcuts for pop-out interactive viewer
11. Scikit-rt with Docker
12. Scikit-rt with Kubernetes
13. Legacy code