SegAN
importedsoftware/segan
SegAN: Semantic Segmentation with Adversarial Learning
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
- Repository
- github.com/YuanXue1993/SegAN
- Documentation
- unknown
- Tags
- adversarial-learning · medical-imaging · segan · semantic-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.
- Co-BioNetadversarial-learning
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
- active-segmentationmedical-imaging · semantic-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- medico-sammedical-imaging · semantic-segmentation
Segment Anything for Medical Imaging
- AgileFormersemantic-segmentation
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
- DCSAU-Netsemantic-segmentation
[CIBM' 23]: A deeper and more compact split-attention U-Net for medical image segmentation
- HiFormersemantic-segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
- api.github.com/repos/YuanXue1993/SegANretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-04-12, 189 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/49.json→ .entries["segan"]
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