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mercure

imported

software/mercure

mercure DICOM Orchestrator

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
mercure-imaging
Country
unknown
Homepage
mercure-imaging.org
Repository
github.com/mercure-imaging/mercure
Documentation
unknown
Tags
ai · deep-learning · dicom · medical · medical-image-processing · medical-imaging · open-source · routing
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.

  • go2comdicom · medical · medical-image-processing

    A DICOM file parser

  • Dermatronmedical · medical-image-processing · medical-imaging

    Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]

  • dicom2jpgdicom · medical-image-processing · medical-imaging

    A simple Python function tool to convert DICOM files into jpg/png/bmp/tiff files and numpy.ndarray

  • invesalius3dicom · medical-image-processing · medical-imaging

    3D medical imaging reconstruction software

  • osparc-isegdicom · medical-image-processing · medical-imaging

    The Medical Image Segmentation Tool Set (iSEG) is a fully integrated segmentation (including pre- and postprocessing) toolbox for the efficient, fast, and flexible generation of anatomical models…

  • rt-utilsdicom · medical-image-processing · medical-imaging

    A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

sources
  1. api.github.com/repos/mercure-imaging/mercure
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-09, 100 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/18.json→ .entries["mercure"]

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