Co-BioNet
importedsoftware/co-bionet
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical 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
- Repository
- github.com/himashi92/Co-BioNet
- Documentation
- unknown
- Tags
- 3d · adversarial · adversarial-learning · co-training · ct · la · medical · 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.
- SegANadversarial-learning
SegAN: Semantic Segmentation with Adversarial Learning
- AlizaMS3d · medical
DICOM Viewer
- SAAMImedical · medical-image-segmentation
Automatic segment and generate masks for any 3D medical images using SAM model without prompt
A 3D Viewer for CTs of Polychromed Wood Sculptures
[MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).
- Brain-IDct
[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
- api.github.com/repos/himashi92/Co-BioNetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-07-20, 78 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/3.json→ .entries["co-bionet"]
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