augmentation
importedsoftware/augmentation
Adversarial Augmentation for Enhancing Classification of Mammography Images
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- BreastGAN
- Country
- unknown
- Homepage
- arxiv.org/abs/1902.07762
- Repository
- github.com/BreastGAN/augmentation
- Documentation
- unknown
- Tags
- augmentation · data-augmentation · deep-learning · deep-neural-networks · gan · generative-adversarial-network · generative-model · radiology
- 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.
- experiment1deep-neural-networks · gan · generative-adversarial-network · generative-model · radiology
BreastGAN, first experiment.
- experiment2deep-neural-networks · gan · generative-adversarial-network · generative-model · radiology
BreastGAN, second experiment.
- gan-skin-matlabdeep-neural-networks · gan · generative-adversarial-network
Example of how to use MATLAB to generate synthetic images of skin lesions.
- AlbumentationsXaugmentation · data-augmentation
Next-generation Albumentations: dual-licensed for open-source and commercial use
- Atlas-GANgan · generative-adversarial-network
[ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates
- RVGANgan · generative-adversarial-network
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
- api.github.com/repos/BreastGAN/augmentationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-03-24, 17 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/5.json→ .entries["augmentation"]
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