Skip to main content

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. It's required for tests and supplementary datasets, and you are free to use it for your own purposes! To install:

$ pip install deid-data

Please see our main 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deid-data-0.0.20.tar.gz (41.9 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page