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data to support deid, best effort deidentify dicom with python and pydicom

Project description

Deidentify (deid) Data

Data for best effort anonymization for medical images in Python.

DOI

This data is supplementary to the Deid library and can be installed alongside it. You'll need to target your deid install directory, e.g.,:

# deid in the present working directory
$ pip install deid-data

# install in python environment
$ pip install deid-data

Please see our Documentation.

Issues

If you have an issue with the data or want to request a new dataset, please do so on our issues board. For all other issues, please post to deid-issues

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