Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

Abstract

Authors

• Jooae Choe
  Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
• Hye Jeon Hwang
  Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
• Min Seon Kim
  Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
• Jong Chul Ye
• Gyutaek Oh
• Sang Min Lee
  Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
• Jihye Yun
  Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil Songpa-Gu, Seoul 05505, South Korea.
• Ho Yun Lee
  Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. hoyunlee96@gmail.com.
• Joo Sung Sun
  Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
• Seulgi You
  Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
• Jaeyoun Yi
  Coreline Soft, Co., Ltd., Sung-Myung B/D 5F, World Cup buk-ro 6-gil 49, Mapo-Gu, Seoul 03991, South Korea.
• Joon Beom Seo
  Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea.

Keywords

External Resources