best effort deidentify dicom with python and pydicom

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for vsochat from gravatar.com vsochat

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (LICENSE)
  • Author: Vanessa Sochat
  • Tags open source, python, anonymize, dicom
  • Requires: Python >=3.7
Classifiers

Project description

Deidentify (deid)

Best effort anonymization for 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://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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for vsochat from gravatar.com vsochat

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (LICENSE)
  • Author: Vanessa Sochat
  • Tags open source, python, anonymize, dicom
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.3.25

This version

0.3.24

0.3.23

0.3.22

0.3.21

0.3.2

0.3.0

0.2.37

0.2.36

0.2.35

0.2.34

0.2.33

0.2.32

0.2.31

0.2.29

0.2.28

0.2.27

0.2.26

0.2.25

0.2.24

0.2.23

0.2.22

0.2.21

0.2.20

0.2.19

0.2.18

0.2.17

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

0.2.3

0.2.1

0.2.0

0.1.42

0.1.41

0.1.38

0.1.37

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.4

0.1.1

0.1.0

0.0.9

0.0.8

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

deid-0.3.24.tar.gz (50.8 kB view details)

Uploaded Source

Built Distribution

deid-0.3.24-py3-none-any.whl (94.4 kB view details)

Uploaded Python 3

File details

Details for the file deid-0.3.24.tar.gz.

File metadata

  • Download URL: deid-0.3.24.tar.gz
  • Upload date:
  • Size: 50.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for deid-0.3.24.tar.gz
Algorithm Hash digest
SHA256 04e6b7ae0612b5faeaa09006fe8d6b1ca678ef33a6a47f411eddb3a08213ed81
MD5 d6082e1a1d7bad9c677ef57073312084
BLAKE2b-256 fb9fc25a68c5a11273b6bf9171371eba5da23c1896f28e9d8aed508a9efff148

See more details on using hashes here.

Provenance

File details

Details for the file deid-0.3.24-py3-none-any.whl.

File metadata

  • Download URL: deid-0.3.24-py3-none-any.whl
  • Upload date:
  • Size: 94.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for deid-0.3.24-py3-none-any.whl
Algorithm Hash digest
SHA256 0cdfbdc3393a41a8959051128e6f3f4f0cf031057706d0efc7a06f458fb9e13b
MD5 0072ed3e0731399168bd3c92eafb68b0
BLAKE2b-256 cc097fac4c2a2ff3fee212af4d25b6c579151bf7498fc2da9cce0be830dde85b

See more details on using hashes here.

Provenance

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