dicom_anonymizer

imported

software/dicom-anonymizer

Data Retrieval from PACS for BreastScreen Norway

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

dicom_anonymizer project image — GitHub preview card for mikevoets/dicom_anonymizer. 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: dormant
Maturity: deployed
Organization: unknown
Country: unknown
Homepage: unknown
Repository: github.com/mikevoets/dicom_anonymizer
Documentation: unknown
Tags: anonymization · dicom-anon · dicom-files · pacs
Regulatory: unknown

built by · 1

mikevoets

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.

dicom-pseudondicom-files · pacs
Dicom Pseudon - Python DICOM Pseudonymizer
Niffleranonymization · pacs
Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.
BIDS_Manageranonymization
BIDS Manage is a software aiming at importing and organising data in BIDS standard
dcm-anonanonymization
DICOM anonymizer (PS3.15 Basic Profile) with a verbatim-cited GDPR Art. 35 / HIPAA Safe Harbor / EU AI Act compliance manifest, independent PHI residual verifier, SHA-256 audit chain, and…
dicom-anonymizationanonymization
Fast DICOM anonymization, written in Rust. Available as library and executable. With bindings for Python and WebAssembly.
med-phys-spreadsheetsanonymization
Spreadsheets from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center

sources

api.github.com/repos/mikevoets/dicom_anonymizer
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-08-15, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/22.json→ .entries["dicom-anonymizer"]

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