Metadata-Version: 1.2
Name: idiscore
Version: 0.3.1
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: GPLv3
Description: =========
        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.
        
Keywords: idiscore
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Requires-Python: ~=3.8
