2019_IWOAI_Challenge
importedsoftware/2019-iwoai-challenge
Knee MRI cartilage segmentation model used in 2019 IWOAI segmentation challenge
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
- denizlab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/denizlab/2019_IWOAI_Challenge
- Documentation
- unknown
- Tags
- cartilage · knee · mri · osteoarthritis · 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.
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R interface to the ANTs biomedical image processing library
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Providing top-performing algorithms from the Brain Tumor Segmentation (BraTS) challenges.
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Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
- deepNeuroSegmri · segmentation
Deep-learning Tool for White Matter (WM) lesions and Claustrum structure segmentation in brain magnetic resonance imaging (MRI).
- hippunfoldmri · segmentation
BIDS App for Hippunfold (automated hippocampal unfolding and subfield segmentation)
- api.github.com/repos/denizlab/2019_IWOAI_Challengeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-11-12, 23 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/15.json→ .entries["2019-iwoai-challenge"]
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