deid-data

Name	deid-data JSON
Version	0.0.20 JSON
	download
home_page	https://github.com/pydicom/deid-data
Summary	data to support deid, best effort deidentify dicom with python and pydicom
upload_time	2022-12-06 22:38:29
maintainer
docs_url	None
author	Vanessa Sochat
requires_python
license	LICENSE
keywords	open source python anonymize dicom
VCS
bugtrack_url
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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