Study on analytical noise propagation in convolutional neural network methods used in computed tomography imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://link.springer.com/content/pdf/10.1007/s41365-022-01057-3.pdf
Reference33 articles.
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3. K.C. Liang, L. Zhang, H.K. Yang et al., A model-based unsupervised deep learning method for low-dose CT reconstruction. IEEE Access 8, 159260–159273 (2020). https://doi.org/10.1109/ACCESS.2020.3020406
4. Y.K. Zhang, D.L. Hu, Q.L. Zhao et al., CLEAR: comprehensive learning enabled adversarial reconstruction for subtle structure enhanced low-Dose CT imaging. IEEE Trans. Med. Imaging 40(11), 3089–3101 (2021). https://doi.org/10.1109/TMI.2021.3097808
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