Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-dose Fluoroscopic Imaging
This repository contains the PyTorch implementation of a Two-step unsupervised dynamic context-aware denoising framework based on the recursive filter for Low-Dose fluoroscopic imaging.
The code is an implementation of the algorithm proposed in the paper, and it will be uploaded once the paper is accepted.
if you have any questions, please file an issue or contact the author:
Sun-Young Jeon: sunyounge_@ewhain.net