DHC
importedsoftware/dhc
MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised 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
- xmed-lab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/xmed-lab/DHC
- Documentation
- unknown
- Tags
- class-imbalance · medical-image-segmentation · miccai2023 · semi-supervised-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.
- Multi-Level-Global-Context-Cross-Consistencymedical-image-segmentation · semi-supervised-segmentation
Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"
- XNetmedical-image-segmentation · semi-supervised-segmentation
[ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images
- 3D-UCapsmedical-image-segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
- ACELossmedical-image-segmentation
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
- ACSmedical-image-segmentation
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
- active-segmentationmedical-image-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- api.github.com/repos/xmed-lab/DHCretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-05-14, 73 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/6.json→ .entries["dhc"]
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