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Dicom_RT_and_Images_to_Mask

imported

software/dicom-rt-and-images-to-mask

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

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
binary-masks · deep-learning · deeplearning · dicom · dicom-images · dicomrt · mask · medical-image-processing
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.

  • rt-utilsbinary-masks · dicom · mask · medical-image-processing

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

  • dicom2jpgdicom · dicom-images · medical-image-processing

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

  • go2comdicom · dicom-images · medical-image-processing

    A DICOM file parser

  • amidicom · dicom-images

    AMI Medical Imaging (AMI) JS ToolKit

  • dicomdicom · dicom-images

    ⚡High Performance DICOM Medical Image Parser in Go.

  • dicomdicom · dicom-images

    High Performance DICOM Medical Image Parser in Go.

sources
  1. api.github.com/repos/brianmanderson/Dicom_RT_and_Images_to_Mask
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 108 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/52.json→ .entries["dicom-rt-and-images-to-mask"]

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