RVGAN
importedsoftware/rvgan
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/SharifAmit/RVGAN
- Documentation
- unknown
- Tags
- conditional-gan · fundus · fundus-image-analysis · gan · generative-adversarial-network · generative-adversarial-networks · keras · medical-image-analysis
- 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.
- gan-skin-matlabgan · generative-adversarial-network · medical-image-analysis
Example of how to use MATLAB to generate synthetic images of skin lesions.
- rrwnetfundus · medical-image-analysis
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
- Atlas-GANgan · generative-adversarial-network
[ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates
- augmentationgan · generative-adversarial-network
Adversarial Augmentation for Enhancing Classification of Mammography Images
- experiment1gan · generative-adversarial-network
BreastGAN, first experiment.
- experiment2gan · generative-adversarial-network
BreastGAN, second experiment.
- api.github.com/repos/SharifAmit/RVGANretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-06-08, 95 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/29.json→ .entries["rvgan"]
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