openmedical/registry
← registry

deid

imported

software/deid

best effort anonymization for medical images using python

Machine-generated from the listed sources and not yet reviewed by a human.

deid project image
GitHub preview card for pydicom/deid. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
pydicom
Country
unknown
Documentation
unknown
Tags
anonymize · deidentify · dicom · medical · medical-images · pydicom
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • dicognitoanonymize · deidentify · dicom

    A library and command line tool for anonymizing DICOM files

  • mritopngdicom · medical · medical-images

    A simple python module to make it easy to batch convert DICOM files to PNG images.

  • senditdeidentify · dicom

    an application to receive, de-identify, and send dicoms to storage

  • DICOMClientanonymize · dicom

    DICOM utilities for anonymizing, viewing and uploading to a PACS

  • Dicom-Toolsdicom · medical · pydicom

    Multi-language DICOM workbench for comparing DCMTK, GDCM, ITK/VTK, dicom-rs, fo-dicom, dcm4che, Cornerstone3D, pydicom/pynetdicom, and related backends through a shared UI and contract runner.

  • MedicalImagingdicom · medical-images

    Tutorials that take an in depth look at how to view and manipulate DICOM images and how to get them ready for machine learning

sources
  1. api.github.com/repos/pydicom/deid
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-01-12, 176 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/47.json→ .entries["deid"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.