https://github.com/pydicom/deid

best effort anonymization for medical images using python
https://github.com/pydicom/deid

anonymize deidentify dicom medical medical-images pydicom

Last synced: 5 days ago
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best effort anonymization for medical images using python

• Host: GitHub
• URL: https://github.com/pydicom/deid
• Owner: pydicom
• License: mit
• Created: 2017-06-13T03:16:10.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-10-02T16:43:11.000Z (2 months ago)
• Last Synced: 2024-11-30T11:05:52.522Z (12 days ago)
• Topics: anonymize, deidentify, dicom, medical, medical-images, pydicom
• Language: Python
• Homepage: https://pydicom.github.io/deid/
• Size: 88.4 MB
• Stars: 148
• Watchers: 9
• Forks: 44
• Open Issues: 18
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Authors: AUTHORS.md
  • Dei: deid/__init__.py

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README

        
# Deidentify (deid)

Best effort anonymization for medical images in Python.

[![DOI](https://zenodo.org/badge/94163984.svg)](https://zenodo.org/badge/latestdoi/94163984)

[![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.

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:

```bash

pip install deid

```

For the development version, install from Github:

```bash

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

```

### Docker

```bash

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).