EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
-
Updated
Apr 26, 2021 - Python
#
low-dose-ct-denoising
Here are 2 public repositories matching this topic...
Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising
python deep-learning pytorch medical-imaging mamba computed-tomography denoising sequence-models state-space-models contextualized-representation long-range low-dose-ct-denoising
-
Updated
Sep 25, 2024 - Python
Improve this page
Add a description, image, and links to the low-dose-ct-denoising topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the low-dose-ct-denoising topic, visit your repo's landing page and select "manage topics."