Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis

C.G. Yan, J. Lin, H.X. Li, J. Xu*, T.J. Zhang, H. Chen, H.C. Woodruff, G.Y. Wu, S.Q. Zhang, Y.K. Xu*, P. Lambin

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Web of Science)
Original languageEnglish
Pages (from-to)983-993
Number of pages11
JournalKorean Journal of Radiology
Volume22
Issue number6
DOIs
Publication statusPublished - 1 Jun 2021

Keywords

  • Computed tomography
  • Radiation dose
  • Infection
  • Artificial intelligence
  • Deep learning
  • FILTERED BACK-PROJECTION
  • ITERATIVE RECONSTRUCTION
  • COMPUTED-TOMOGRAPHY

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