Heesuk Kim

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Abstract We developed and evaluated a deep learning system integrating segmentation and classification for automated detection of Weiss rings on fundus photographs (FPs). A U-Net segmenter and two EfficientNet-B0 classifiers were trained, and their probability outputs were fused by a concatenation meta-classifier. Performance was assessed on an independent test set.

June 27, 2025 | Ophthalmology | Yonsei University College of Medicine Objectives: The purpose of this study was to evaluate the diagnostic accuracy of glaucoma by establishing normative data on retinal nerve fiber layer (RNFL) thickness, specifically for healthy Koreans, using Huvitz spectral-domain optical coherence tomography (OCT).