openmedical/registry
← registry

RadioLogic

imported

software/radiologic

A case-based learning and self-assessment tool for the Orthanc ecosystem for medical imaging

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
dicom · orthanc · radiology
Regulatory
unknown
built by · 2

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.

  • diana2dicom · orthanc

    DICOM Image Analysis and Archive

  • python_script_librarydicom · orthanc

    Place to collect free-standing and/or Orthanc Python Plug-ins, mostly for development, with a focus on Modality Worklist Management for Orthanc or PACS in general.

  • aditdicom · radiology

    ADIT (Automated DICOM Transfer) is a swiss army knife to exchange DICOM data between various systems by using a convenient web frontend and DICOMweb compatible API client.

  • ct-volume-preprocessingdicom · radiology

    End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with…

  • DICOMassistdicom · radiology

    AI-powered DICOM viewer with smart slice selection for medical image analysis

  • DicomGrepdicom · radiology

    A tool for searching Dicom file by contents

sources
  1. api.github.com/repos/mbarnig/RadioLogic
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-02, 20 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/26.json→ .entries["radiologic"]

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