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-0.0.12.tar.gz (27.1 MB view details)

Uploaded Source

File details

Details for the file deid-data-0.0.12.tar.gz.

File metadata

  • Download URL: deid-data-0.0.12.tar.gz
  • Upload date:
  • Size: 27.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for deid-data-0.0.12.tar.gz
Algorithm Hash digest
SHA256 16430d611c232b9c1de81e87c892e6ab7460690c6d984bf57543eb364bc4086c
MD5 f58b78790edcf84fd53a5a74161c03d5
BLAKE2b-256 1cf59c1d13fa3472938bcdd8346b871857f82b362ab5db2085816e476a733ba2

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