Metadata-Version: 2.1
Name: scikit-rt
Version: 0.7.5
Summary: Toolkit for analysis of radiotherapy data
Home-page: https://github.com/scikit-rt/scikit-rt
Author: H. Pullen, K. Harrison
Author-email: scikit-rt@hep.phy.cam.ac.uk
Project-URL: Bug Tracker, https://github.com/scikit-rt/scikit-rt/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# Scikit-rt

Scikit-rt provides tools for loading, plotting, and analysing
radiotherapy data in [DICOM](https://www.dicomstandard.org/) and
[NIfTI](https://nifti.nimh.nih.gov/) formats.  It includes
image registration via [elastix](https://elastix.lumc.nl/)
and [NiftyReg](http://cmictig.cs.ucl.ac.uk/wiki/index.php/NiftyReg),
single- and multi-atlas segmentation, and region-of-interest (ROI)
comparisons.

Scikit-rt documentation is at:  
[https://scikit-rt.github.io/scikit-rt/](https://scikit-rt.github.io/scikit-rt/)

If you encounter problems with scikit-rt, please submit a help request
or bug report via the project issues tracker:  
[https://github.com/scikit-rt/scikit-rt/issues](https://github.com/scikit-rt/scikit-rt/issues)

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