EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
-
Updated
Apr 26, 2021 - Python
#
low-dose
Here are 5 public repositories matching this topic...
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
deep-learning kaggle generative-adversarial-network gan convolutional-neural-networks computed-tomography denoising image-to-image-translation low-dose
-
Updated
Jan 4, 2022 - Lua
Framework for designing, training and benchmarking sparse-view CT reconstruction algorithms; includes datasets, metrics, baselines and CLI so you can prototype new methods and compare fairly in minutes.
-
Updated
Mar 5, 2024 - Python
Deep neural network for low-dose electron micrograph denoising
-
Updated
Oct 20, 2020 - Python
⚙️ Collect executable commands from `$PATH` and generate a path:hash whitelist for host-integrity checks and anti-spoofing measures.
python shell bash cli unix deep-learning preact eslint command static-analysis commands gitlab-ci developer-tools reconstruction computed-tomography low-dose commands-cheatsheet web-features
-
Updated
Dec 16, 2025
Improve this page
Add a description, image, and links to the low-dose 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 topic, visit your repo's landing page and select "manage topics."