This is the official repository for "3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions".
The paper is online at: [here]
The required Python libraries should be installed.
pip install -r requirements.txt
Example real chest CT results from paper.
Each row denoted as (a), (b), and (c) indicates a different real chest CT image. Columns (1-4) represent ground truth, FBP, 2D U-Net, and 3D U-NetR outputs, respectively.
@article{gunduzalp20213d,
title={3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions},
author={Gunduzalp, Doga and Cengiz, Batuhan and Unal, Mehmet Ozan and Yildirim, Isa},
journal={arXiv preprint arXiv:2105.14130},
year={2021}
}