nitrain
importedsoftware/nitrain
Train AI models efficiently on medical images using any framework
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- nitrain
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/nitrain/nitrain
- Documentation
- unknown
- Tags
- deep-learning · keras · medical-imaging · neuroimaging · pytorch
- 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.
- clinicadlmedical-imaging · neuroimaging · pytorch
Open-source Python library for reproducible deep learning in neuroimaging
- kaggle_ndsb2017keras · medical-imaging
Kaggle datascience bowl 2017
- medical_image_segmentationkeras · medical-imaging
Medical image segmentation ( Eye vessel segmentation)
- neuritekeras · medical-imaging
Neural networks toolbox focused on medical image analysis
- u-netkeras · medical-imaging
U-Net: Convolutional Networks for Biomedical Image Segmentation
- active-segmentationmedical-imaging · pytorch
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- api.github.com/repos/nitrain/nitrainretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-13, 1880 stars, license reported as AGPL-3.0. 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["nitrain"]
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