DIAGNijmegen/rse-grand-challenge
A platform for end-to-end development of machine learning solutions in biomedical imaging
This platform helps researchers, data scientists, and clinicians collaboratively develop and validate machine learning solutions for biomedical imaging. You can upload and manage medical image datasets, coordinate expert annotation, host challenges to compare different ML models, and deploy the best solutions for clinical testing. It's designed for anyone working with medical images who needs to build, test, and deploy AI models.
186 stars.
Use this if you need an integrated platform to manage medical imaging data, gather expert annotations, benchmark machine learning algorithms, and prepare them for clinical validation.
Not ideal if your primary need is general-purpose image processing or machine learning without a specific focus on biomedical imaging or collaborative validation workflows.
Stars
186
Forks
60
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/DIAGNijmegen/rse-grand-challenge"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with...
roflcoopter/viseron
Self-hosted, local only NVR and AI Computer Vision software. With features such as object...
blakeblackshear/frigate
NVR with realtime local object detection for IP cameras
levan92/deep_sort_realtime
A really more real-time adaptation of deep sort
notAI-tech/NudeNet
Lightweight nudity detection