EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
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Updated
Apr 26, 2021 - Python
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
A benchmark for deep learning-based low dose CT image denoising
Physics-Guided Mamba-GAN for Anatomy-Aware Low-Dose CT Denoising | VSS-U-Net + WGAN-GP + NPS Loss | PyTorch/MONAI
This is critical for search. Use: Official PyTorch implementation of "Anatomically Adaptive Feature-wise Linear Modulation for Deep Learning-Based Low-Dose CT Denoising"
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