region_based_active_learning
importedsoftware/region-based-active-learning
On uncertainty estimation in active learning for image segmentation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- active-learning · deep-learning · medical-image-segmentation
- 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.
- active-segmentationactive-learning · medical-image-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- ADA4MIAactive-learning · medical-image-segmentation
Awesome Active Domain Adaptation for Medical Image Analysis
- SFADA-GTV-Segactive-learning · medical-image-segmentation
(TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals
- MONAILabelactive-learning
MONAI Label is an intelligent open source image labeling and learning tool.
- aqmlactive-learning
Amons-based quantum machine learning for quantum chemistry
- bofireactive-learning
Experimental design and (multi-objective) bayesian optimization.
- api.github.com/repos/lyn1874/region_based_active_learningretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-11-19, 12 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/9.json→ .entries["region-based-active-learning"]
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