deidentify dicom and other images with python and pydicom

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Project links

Homepage

Project description

Deidentify (deid)

Best effort anonymization for medical images in Python.

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

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.3.25

Oct 2, 2024

0.3.24

Sep 5, 2024

0.3.23

Sep 11, 2023

0.3.22

May 10, 2023

0.3.21

Dec 7, 2022

0.3.2

Dec 7, 2022

0.3.0

Nov 22, 2022

0.2.37

Oct 6, 2022

0.2.36

Sep 28, 2022

0.2.35

Sep 28, 2022

0.2.34

Sep 27, 2022

0.2.33

Sep 26, 2022

0.2.32

Sep 11, 2022

0.2.31

Aug 26, 2022

0.2.29

Mar 23, 2022

0.2.28

Dec 20, 2021

0.2.27

Sep 21, 2021

0.2.26

Sep 6, 2021

0.2.25

Jul 7, 2021

0.2.24

Dec 1, 2020

0.2.23

Oct 5, 2020

0.2.22

Oct 2, 2020

0.2.21

Sep 30, 2020

0.2.20

Sep 23, 2020

0.2.19

Sep 15, 2020

0.2.18

Sep 9, 2020

0.2.17

Sep 9, 2020

0.2.15

Aug 7, 2020

0.2.14

Jul 2, 2020

0.2.13

Jun 20, 2020

0.2.12

Jun 6, 2020

0.2.11

Jun 2, 2020

0.2.3

May 23, 2022

0.2.1

May 14, 2020

0.2.0

Apr 29, 2020

0.1.42

Mar 28, 2020

0.1.41

Mar 12, 2020

0.1.38

Mar 6, 2020

0.1.37

Mar 4, 2020

0.1.36

Mar 4, 2020

0.1.35

Feb 8, 2020

This version

0.1.34

Jun 24, 2019

0.1.33

Jun 23, 2019

0.1.32

Jan 18, 2019

0.1.31

Jan 5, 2019

0.1.30

Jan 4, 2019

0.1.29

Jan 4, 2019

0.1.28

Jan 4, 2019

0.1.27

Dec 30, 2018

0.1.26

Dec 30, 2018

0.1.25

Dec 28, 2018

0.1.24

Dec 26, 2018

0.1.23

Dec 24, 2018

0.1.22

Dec 10, 2018

0.1.21

Dec 10, 2018

0.1.20

Dec 9, 2018

0.1.19

Dec 5, 2018

0.1.18

Sep 19, 2018

0.1.17

Sep 16, 2018

0.1.16

Sep 5, 2018

0.1.15

Jun 12, 2018

0.1.14

Jun 5, 2018

0.1.13

Apr 24, 2018

0.1.12

Apr 24, 2018

0.1.11

Jan 31, 2018

0.1.4

Mar 12, 2020

0.1.1

Dec 21, 2017

0.1.0

Aug 22, 2017

0.0.9

Aug 22, 2017

0.0.8

Aug 5, 2017

0.0.6

Jul 28, 2017

0.0.5

Jun 24, 2017

0.0.4

Jun 19, 2017

0.0.3

Jun 15, 2017

0.0.2

Jun 15, 2017

0.0.1

Jun 13, 2017

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