idiscore
Deidentification of DICOM images using Attribute Confidentiality Options
- Free software: GPLv3 License
- Documentation: https://idiscore.readthedocs.io.
Installation
pip install idiscore
Features
- Pure-python de-identification using pydicom
- Useful even without configuration - offers reasonable de-identification out of the box.
- Uses standard
DICOM Confidentiality options <http://dicom.nema.org/medical/dicom/current/output/chtml/part15/sect_E.3.html>_ to define de-identification that is to be performed
Non-features
- No pipeline management, No special input and output handling. Only pydicom dataset in -> pydicom dataset out.
1 maintainer
Release files for idiscore 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| idiscore-1.6.0.tar.gz | 72.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| idiscore-1.6.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 138.5 kB
Release files / idiscore-1.6.0.tar.gz
| Download URL | idiscore-1.6.0.tar.gz |
|---|---|
| Size | 72.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / idiscore-1.6.0-py2.py3-none-any.whl
| Download URL | idiscore-1.6.0-py2.py3-none-any.whl |
|---|---|
| Size | 66.2 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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