# arnab39/FewShot\_GAN-Unet3D

<https://repo.masters-masters.com/en/repos/arnab39/FewShot_GAN-Unet3D>

[Home](https://repo.masters-masters.com/en) › [arnab39](https://repo.masters-masters.com/en/owners/arnab39) › [FewShot\_GAN-Unet3D](https://repo.masters-masters.com/en/repos/arnab39/FewShot_GAN-Unet3D)

arnab39/FewShot\_GAN-Unet3D has 400 stars on GitHub. Its RepoMasters card: Alpha tier. Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical…

| Field | Value |
| --- | --- |
| Owner | [arnab39](https://repo.masters-masters.com/en/owners/arnab39) |
| Stars | 400 |
| Forks | 80 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | few-shot-learning, brain-mri, semi-supervised-learning, unet-3d, unet-tensorflow, gans, semi-supervised-gan, multi-modal-imaging, medical-image-analysis, iseg-challenge |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [arnab39/FewShot\_GAN-Unet3D](https://github.com/arnab39/FewShot_GAN-Unet3D) |

## Repository

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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