Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease.

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Title: Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease.
Authors: Hwang HJ; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim H; Robotics Program, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea., Seo JB; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. seojb@amc.seoul.kr., Ye JC; Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea., Oh G; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea., Lee SM; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Jang R; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Yun J; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim N; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Park HJ; Coreline Soft, Co., Ltd, Seoul, Republic of Korea., Lee HY; Department of Radiology and Center for Imaging Science, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea., Yoon SH; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea., Shin KE; Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea., Lee JW; Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea., Kwon W; Department of Radiology, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea.; Department of Radiology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea., Sun JS; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea., You S; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea., Chung MH; Department of Radiology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Gil BM; Department of Radiology, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Lim JK; Department of Radiology, Kyungpook National University School of Medicine, Daegu, Republic of Korea., Lee Y; Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea., Hong SJ; Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea., Choi YW; Department of Radiology, Hanyang University Seoul Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea.
Source: Korean journal of radiology [Korean J Radiol] 2023 Aug; Vol. 24 (8), pp. 807-820.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Korean Society of Radiology Country of Publication: Korea (South) NLM ID: 100956096 Publication Model: Print Cited Medium: Internet ISSN: 2005-8330 (Electronic) Linking ISSN: 12296929 NLM ISO Abbreviation: Korean J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2005-8330
DOI:10.3348/kjr.2023.0088