Metadata-Version: 2.4
Name: idiscore
Version: 1.4.0
Summary: Pure-python deidentification of DICOM images using Attribute Confidentiality Options
Author-email: sjoerdk <sjoerd.kerkstra@radboudumc.nl>
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: dicomgenerator>=0.9.1
Requires-Dist: jinja2>=3.1.6
Dynamic: license-file

# idiscore

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Deidentification of DICOM images using Attribute Confidentiality Options

* Free software: GPLv3 License
* Documentation: https://idiscore.readthedocs.io.


## Installation
```
pip install idiscore
```

## Features
* Pure-python de-identification using pydicom
* 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

## Non-features
* No pipeline management, No special input and output handling. Only pydicom dataset in -> pydicom dataset out.
