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:

$ 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

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-0.0.11.tar.gz (27.2 MB view details)

Uploaded Source

File details

Details for the file deid-data-0.0.11.tar.gz.

File metadata

  • Download URL: deid-data-0.0.11.tar.gz
  • Upload date:
  • Size: 27.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for deid-data-0.0.11.tar.gz
Algorithm Hash digest
SHA256 1cd0e59625c16d5b297e4e62ad0aacf64aefb191e43bd80027e703768c1afbed
MD5 0884b544a7829628b58af6ed4f08e525
BLAKE2b-256 d5bdf42b5626a4201d2d3d8e39b51ca5789ce5a4bb3b5e348fa4f897ee82282b

See more details on using hashes here.

Supported by

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