AI-Based RGB Image Generation From RG Fundus Images Using Pix2Pix: Validation by Quantitative and Observer-Based Evaluations
This method enables a reinterpretation of legacy RG fundus images and may support future AI diagnostic applications.
Authors
- Takumi Kitajima
- Keitaro Mizumoto
- Akiko Ota (ORCID: https://orcid.org/0009-0004-9807-4899)
- Yoko Mase (ORCID: https://orcid.org/0000-0002-5993-0961)
- Yoshitsugu Matsui (ORCID: https://orcid.org/0000-0002-6676-405X)
- Haru Hirano
- Koki Imai
- Kumiko Kato
- Hiroharu Kawanaka
Institutions
- Mie University (JP)
- Keio University (JP)
- ORCID (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2026-01-09
- DOI
- https://doi.org/10.1167/tvst.15.1.14
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Miami