rse-grand-challenge
importedsoftware/rse-grand-challenge
A platform for end-to-end development of machine learning solutions in biomedical imaging
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- DIAGNijmegen
- Country
- unknown
- Homepage
- grand-challenge.org
- Documentation
- unknown
- Tags
- ai · challenges · computer-vision · django · django-rest-framework · docker · machine-learning · medical-imaging
- 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.
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- django-rest-fhirdjango · django-rest-framework
A reusable implementation of the HL7 FHIR standard for healthcare interoperability in Python using Django and Django REST framework
- bus-segmentationcomputer-vision · medical-imaging
MATLAB implementation to segment breast lesions in ultrasound images (ICIAR 2016)
- cucimcomputer-vision · medical-imaging
cuCIM - RAPIDS GPU-accelerated image processing library
- api.github.com/repos/DIAGNijmegen/rse-grand-challengeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-05, 193 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/42.json→ .entries["rse-grand-challenge"]
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