Skip to main content

deidentify dicom and other images with python and pydicom

Project description

# Deidentify (deid)

Deidentify medical images in Python.

[![Build Status](https://travis-ci.org/pydicom/deid.svg?branch=master)](https://travis-ci.org/pydicom/deid)

Please see our [Documentation](https://pydicom.github.io/deid/)

These are basic Python based tools for working with medical images and text, specifically for de-identification.

## 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](https://www.github.com/pydicom/deid/issues)

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

deid-0.1.14.tar.gz (5.0 MB view hashes)

Uploaded Source

Supported by

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