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3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions

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3D U-NetR: Low Dose CT Reconstruction

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]

Installation

The required Python libraries should be installed.

pip install -r requirements.txt

Demo

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.

Reference

@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}
}

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