Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis-Reference-Cited by-同舟云学术

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

Published:2021 Issue:6 Volume:22 Page:983
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Yan Chenggong¹²^ORCID,Lin Jie¹^ORCID,Li Haixia³^ORCID,Xu Jun⁴^ORCID,Zhang Tianjing³^ORCID,Chen Hao⁵^ORCID,Woodruff Henry C.²⁶^ORCID,Wu Guangyao²^ORCID,Zhang Siqi¹^ORCID,Xu Yikai¹^ORCID,Lambin Philippe²⁶^ORCID

Affiliation:

1. Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.

2. The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.

3. Clinical and Technical Solution, Philips Healthcare, Guangzhou, China.

4. Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

5. Jiangsu JITRI Sioux Technologies Co., Ltd., Suzhou, China.

6. Department of Radiology and Nuclear Imaging, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.

Funder

Natural Science Foundation of Guangdong Province

Medical Scientific Research Foundation of Guangdong Province

ERC

EUROSTARS

European Union's Horizon 2020

Interreg V-A Euregio Meuse-Rhine

Dutch Cancer Society

Publisher

The Korean Society of Radiology

Subject

Radiology, Nuclear Medicine and imaging