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Peer-Reviewed Publication
Eye (Lond)2026July 24, 2026Journal Article

Generative adversarial networks (GAN) for pre-dilation retinal photograph quality enhancement.

Jocelyn Hui Lin Goh1,2,3, Mingrui Tan4, Xiaofeng Lei4, Shaohua Li4, Sarah Shwu Huey Tan1, Haslina Hamzah1,5, Gabriel Dawei Yang1, Zhi Da Soh1, Tyler Hyungtaek Rim1,6,7, Gavin Siew Wei Tan1,5,7, Rick Siow Mong Goh4, Yong Liu4, Ching-Yu Cheng1,2,3,7, Yih Chung Tham8,9,10,11
1Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
2Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
3Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
4Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
5SNEC Ocular Reading Centre, Singapore National Eye Centre, Singapore, Singapore.
6Mediwhale Inc, Seoul, Korea.
7Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School Singapore, Singapore, Singapore.
8Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore. thamyc@nus.edu.sg.
9Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. thamyc@nus.edu.sg.
10Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore. thamyc@nus.edu.sg.
11Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School Singapore, Singapore, Singapore. thamyc@nus.edu.sg.

Abstract

PURPOSE: Retinal image quality significantly affects the performance of diagnostic artificial intelligence (AI) models and is typically improved with pupil dilation in clinical settings. However, in real-world settings where dilation is not feasible, suboptimal image quality remains a challenge for AI deployment. In this study, we fine-tuned a CofeNet model to enhance the quality of undilated reti…

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