# SSinyu/WGAN-VGG

<https://repo.masters-masters.com/en/repos/SSinyu/WGAN-VGG>

[Home](https://repo.masters-masters.com/en) › [SSinyu](https://repo.masters-masters.com/en/owners/SSinyu) › [WGAN-VGG](https://repo.masters-masters.com/en/repos/SSinyu/WGAN-VGG)

SSinyu/WGAN-VGG has 148 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch Implementation of Low Dose CT Image Denoising Using a Generative…

| Field | Value |
| --- | --- |
| Owner | [SSinyu](https://repo.masters-masters.com/en/owners/SSinyu) |
| Stars | 148 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SSinyu/WGAN-VGG](https://github.com/SSinyu/WGAN-VGG) |

## Repository

Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.