Dicom_RT_and_Images_to_Mask
importedsoftware/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.
- 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
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.
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.
- CARPIdicom · dicom-images · medical-image-processing
The Cancer Radiomic and Perfusion Imaging (CARPI) automated framework is a Python-based software for radiomic and perfusion feature extraction developed by the ABASTI laboratory at MD Anderson…
- 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
- Web-DICOM-Managementdicom · dicom-images · medical-image-processing
DICOM database management for medical ML project based on web.
- amidicom · dicom-images
AMI Medical Imaging (AMI) JS ToolKit
- api.github.com/repos/brianmanderson/Dicom_RT_and_Images_to_Maskretrieved 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 →
/v1/entries/52.json→ .entries["dicom-rt-and-images-to-mask"]
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