Generating Synthesized Fluorescein Angiography Images From Color Fundus Images by Generative Adversarial Networks for Macular Edema Assessment
Pix2pixGANs techniques have the potential to assist in the noninvasive clinical assessment of ME in RVO eyes.
Authors
- Meng Xie (ORCID: https://orcid.org/0000-0001-7676-4937)
- Xiaolin Xie (ORCID: https://orcid.org/0009-0002-3255-0341)
- Danba Jiachu
- Jianlong Yang (ORCID: https://orcid.org/0000-0001-7450-1260)
- Xiangbo Li (ORCID: https://orcid.org/0000-0003-3946-4083)
- Hehua Ye (ORCID: https://orcid.org/0000-0002-6490-2244)
- Kebo Cai (ORCID: https://orcid.org/0000-0002-3330-9931)
- Mingzhi Zhang (ORCID: https://orcid.org/0000-0002-7113-4634)
- Chang Liu (ORCID: https://orcid.org/0000-0002-1213-9814)
- Ce Zheng (ORCID: https://orcid.org/0000-0001-7146-9138)
- Li Luo (ORCID: https://orcid.org/0000-0001-5519-3143)
- Wei Mi (ORCID: https://orcid.org/0000-0002-3400-4267)
- Jinming Guo
Institutions
- Chinese University of Hong Kong (HK)
- Shanghai Jiao Tong University (CN)
- XinHua Hospital (CN)
- Shantou University (CN)
- Shantou University Medical College (CN)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1167/tvst.13.9.26
- Citations
- 5
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- School of Medicine, Shanghai Jiao Tong University