deidentify dicom and other images with python and pydicom
Project description
# Deidentify (deid)
Deidentify medical images in Python.
[](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 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 `
## 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)
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
File details
Details for the file deid-0.0.6.tar.gz.
File metadata
- Download URL: deid-0.0.6.tar.gz
- Upload date:
- Size: 5.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6449deca0b1010dceb9892756514a31fa832cd1a27b4f03c6713fbd43309ecb3 |
|
| MD5 | 20569b024c5c0988e842e2307e60226c |
|
| BLAKE2b-256 | c7314e56dd6d4aa6988ab85bd5effd701a5123fe1b8f5d0e890ebcb4b6701e6d |
](https://travis-ci.org/pydicom/deid){kind=link}