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arnab39/FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
398 81 +0/wk
GitHub
3d-gan brain-mri convolutional-neural-networks few-shot-learning gans image-segmentation iseg-challenge medical-image-analysis multi-modal-imaging semi-supervised-gan semi-supervised-learning tensorflow
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Star & Fork Trend (19 data points)
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arnab39/FewShot_GAN-Unet3D has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | FewShot_GAN-Unet3D | dm_env | ai-infra-hpc | Hands-On-Intelligent-Agents-with-OpenAI-Gym |
|---|---|---|---|---|
| Stars | 398 | 398 | 399 | 396 |
| Forks | 81 | 57 | 43 | 157 |
| Weekly Growth | +0 | +0 | +3 | +0 |
| Language | Python | Python | Cuda | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | MIT |
Capability Radar vs dm_env
FewShot_GAN-Unet3D
dm_env
Maintenance Activity 0
Last code push 1989 days ago.
Community Engagement 100
Fork-to-star ratio: 20.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.