Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
☆145Nov 17, 2020Updated 5 years ago
Alternatives and similar repositories for WGAN-VGG
Users that are interested in WGAN-VGG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)☆260Nov 25, 2020Updated 5 years ago
- Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss☆35Dec 26, 2018Updated 7 years ago
- Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network☆139Jan 4, 2022Updated 4 years ago
- Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.☆44Dec 14, 2020Updated 5 years ago
- Code and papers for Low-Dose CT denoising☆103Mar 7, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- review of CT denoising paper☆75Aug 5, 2021Updated 4 years ago
- Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018☆52Feb 17, 2019Updated 7 years ago
- DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising☆84Nov 3, 2021Updated 4 years ago