Generation of synthetic ground glass nodules using generative adversarial networks (gans)

HIGHLIGHTS

• who: Zhixiang Wang from the Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The have published the Article: Generation of synthetic ground glass nodules using generative adversarial networks (GANs), in the Journal: (JOURNAL)
• what: The authors investigated the following research questions: i. The authors evaluated the model performance using both subjective (visual Turing test, VTT) and objective (radiomics) approaches. The relatively small size of the study compared to the previous research probably influenced the results of the visual Turing test. This gives the authors the opportunity to . . .
  

   

  

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