Skip to content
forked from pydicom/deid

best effort anonymization for medical images using python

License

Notifications You must be signed in to change notification settings

vpapaioannou/deid

 
 

Repository files navigation

Deidentify (deid)

Best effort anonymization for medical images in Python.

DOI Build Status

Please see our Documentation

These are basic Python based tools for working with medical images and text, specifically for de-identification. The cleaning method used here mirrors the one by CTP in that we can identify images based on known locations. We are looking for collaborators to develop and validate an OCR cleaning method! Please reach out if you would like to help work on this.

Installation

Local

For the stable release, install via pip:

pip install deid

For the development version, install from Github:

pip install git+git://github.com/pydicom/deid

Docker

docker build -t pydicom/deid .
docker run pydicom/deid --help

Issues

If you have an issue, or want to request a feature, please do so on our issues board

About

best effort anonymization for medical images using python

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.9%
  • Dockerfile 0.1%