Metadata-Version: 2.1
Name: deid
Version: 0.2.37
Summary: best effort deidentify dicom with python and pydicom
Home-page: https://github.com/pydicom/deid
Author: Vanessa Sochat
Author-email: vsoch@users.noreply.github.com
License: LICENSE
Keywords: open source,python,anonymize,dicom
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: System :: Shells
Classifier: Topic :: Terminals
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.md

# 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).


