Metadata-Version: 2.1
Name: idiscore
Version: 0.2.9
Summary: Pure-python deidentification of DICOM images conforming to using Attribute Confidentiality Options
Home-page: https://github.com/sjoerdk/idiscore
Author: Sjoerd Kerkstra
Author-email: sjoerd.kerkstra@radboudumcn.nl
License: MIT license
Keywords: idiscore
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: ~=3.6
Requires-Dist: pydicom (==2.*)
Requires-Dist: dicomgenerator

=========
IDIS Core
=========

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Deidentification of DICOM images using Attribute Confidentiality Options


* Free software: MIT license
* Documentation: https://idiscore.readthedocs.io.


Features
--------
* Pure-python de-identification using pydicom
* De-identification is verified by test suite
* Useful even without configuration - offers reasonable de-identification out of the box.
* Uses standard `DICOM Confidentiality options <http://dicom.nema.org/medical/dicom/current/output/chtml/part15/sect_E.3.html>`_
  to define de-identification that is to be performed
* Focus on de-identification, pydicom dataset in -> pydicom dataset out. No pipeline management, No special input and output
  handling.


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2020-06-02)
------------------

* First release on PyPI.


