pydicom/deid repository overview

⁠Deidentify (deid)

Deidentify medical images in Python.

Github repository, see CHANGELOG.md for version details:

https://www.github.com/pydicom/deid⁠

Releases on Pypi

https://pypi.org/project/deid/⁠

This is a manual push of the image after each pypi release.

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