Skip to main content

deidentify dicom and other images with python and pydicom

Project description

# Deidentify (deid)

Deidentify 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:// `

### 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](

Project details

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
deid-0.1.18.tar.gz (5.0 MB) Copy SHA256 hash SHA256 Source None Sep 19, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page