Metadata-Version: 2.1
Name: deid-data
Version: 0.0.11
Summary: data to support deid, best effort deidentify dicom with python and pydicom
Home-page: https://github.com/pydicom/deid-data
Author: Vanessa Sochat
Author-email: vsoch@users.noreply.github.com
License: LICENSE
Keywords: open source,python,anonymize,dicom
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: System :: Shells
Classifier: Topic :: Terminals
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.md

# Deidentify (deid) Data

Data for best effort anonymization for medical images in Python.

[![DOI](https://zenodo.org/badge/94163984.svg)](https://zenodo.org/badge/latestdoi/94163984)

This data is supplementary to the [Deid](https://github.com/pydicom/deid) library and can be installed alongside it:

```bash
$ pip install deid-data
```

Please see our [Documentation](https://pydicom.github.io/deid/).

## Issues

If you have an issue with the data or want to request a new dataset, please do so on our [issues board](https://www.github.com/pydicom/deid-data/issues).
For all other issues, please post to [deid-issues](https://www.github.com/pydicom/deid/issues)


