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-Reference-Cited by-同舟云学术

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

Published:2023 Issue:8 Volume:24 Page:807
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Hwang Hye Jeon¹^ORCID,Kim Hyunjong²^ORCID,Seo Joon Beom¹^ORCID,Ye Jong Chul³^ORCID,Oh Gyutaek⁴^ORCID,Lee Sang Min¹^ORCID,Jang Ryoungwoo¹^ORCID,Yun Jihye¹^ORCID,Kim Namkug¹^ORCID,Park Hee Jun⁵^ORCID,Lee Ho Yun⁶⁷^ORCID,Yoon Soon Ho⁸^ORCID,Shin Kyung Eun⁹^ORCID,Lee Jae Wook⁹^ORCID,Kwon Woocheol¹⁰¹¹^ORCID,Sun Joo Sung¹²^ORCID,You Seulgi¹²^ORCID,Chung Myung Hee¹³^ORCID,Gil Bo Mi¹³^ORCID,Lim Jae-Kwang¹⁴^ORCID,Lee Youkyung¹⁵^ORCID,Hong Su Jin¹⁵^ORCID,Choi Yo Won¹⁶^ORCID

Affiliation:

1. Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

2. Robotics Program, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

3. Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

4. Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

5. Coreline Soft, Co., Ltd, Seoul, Republic of Korea.

6. Department of Radiology and Center for Imaging Science, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.

7. Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.

8. Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.

9. Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.

10. Department of Radiology, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea.

11. Department of Radiology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.

12. Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.

13. Department of Radiology, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

14. Department of Radiology, Kyungpook National University School of Medicine, Daegu, Republic of Korea.

15. Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea.

16. Department of Radiology, Hanyang University Seoul Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea.

Funder

Korea Medical Device Development Fund

Publisher

XMLink

Subject

Radiology, Nuclear Medicine and imaging

Link

https://kjronline.org/pdf/10.3348/kjr.2023.0088

Reference35 articles.

1. Idiopathic Pulmonary Fibrosis

2. Clinical value of high-resolution CT in chronic diffuse lung disease.

3. The Diagnostic Accuracy of High-Resolution Computed Tomography in Diffuse Infiltrative Lung Diseases

4. Utility of High-Resolution CT for Management of Diffuse Lung Disease

5. HRCT diagnosis of diffuse parenchymal lung disease: inter-observer variation

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology;La radiologia medica;2024-09-03

2. CT Quantification of Interstitial Lung Abnormality and Interstitial Lung Disease: From Technical Challenges to Future Directions;Investigative Radiology;2024-07-16

3. Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network;British Journal of Radiology;2024-04-10

4. Uncover This Tech Term: Generative Adversarial Networks;Korean Journal of Radiology;2024

5. Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes;Korean Journal of Radiology;2024