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rt-utils

imported

software/rt-utils

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

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
qurit
Country
unknown
Homepage
unknown
Repository
github.com/qurit/rt-utils
Documentation
unknown
Tags
ai · binary-masks · dicom · mask · medical-image-processing · medical-imaging · nuclear-medicine · 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.

  • Dicom_RT_and_Images_to_Maskbinary-masks · dicom · mask · medical-image-processing

    Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images

  • PyTomographymedical-imaging · nuclear-medicine

    This repository enables easy and fast medical image reconstruction in Python.

  • DicomBrowserdicom · medical-imaging · pydicom

    Lightweight portable Dicom browser application

  • 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

  • mercuredicom · medical-image-processing · medical-imaging

    mercure DICOM Orchestrator

sources
  1. api.github.com/repos/qurit/rt-utils
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-07-20, 256 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/23.json→ .entries["rt-utils"]

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