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Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network

ACCELERATOR, RAY AND APPLICATIONS | Updated：2021-02-01

- Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.30, Issue 4, (2019)
- Affiliations：
  
  Department of Engineering Physics, Tsinghua University,Beijing,China,100084;Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education,Beijing,China,100084
- Author bio：
- Funds：
- DOI：10.1007/s41365-019-0581-7 CLC：
- Published：01 April 2019，
  
  Published Online：13 March 2019，
  
  Received：07 July 2018，
  
  Revised：30 September 2018，
  
  Accepted：31 October 2018
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Cite this article
Hong-Kai Yang, Kai-Chao Liang, Ke-Jun Kang, et al. Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network. [J]. Nuclear Science and Techniques 30(4):59(2019)
DOI：

Hong-Kai Yang, Kai-Chao Liang, Ke-Jun Kang, et al. Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network. [J]. Nuclear Science and Techniques 30(4):59(2019) DOI： 10.1007/s41365-019-0581-7.

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Slice-wise reconstruction for low-dose cone-beam CT using a deep residual convolutional neural network Cover Article Enhanced Publication