deid-data


Namedeid-data JSON
Version 0.0.20 PyPI version JSON
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home_pagehttps://github.com/pydicom/deid-data
Summarydata to support deid, best effort deidentify dicom with python and pydicom
upload_time2022-12-06 22:38:29
maintainer
docs_urlNone
authorVanessa Sochat
requires_python
licenseLICENSE
keywords open source python anonymize dicom
VCS
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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.
It's required for tests and supplementary datasets, and you are free to use it for your own purposes! To install:

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

Please see our main [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)

            

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