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Author

Sunjin Hwang

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Open access Sep 2026

A multi-label deep learning system for simultaneous detection of nine fundus conditions.

PURPOSE To develop and validate a deep learning model for simultaneous detection of nine fundus conditions from a single color fundus photograph. METHODS A development dataset of 236,242 color fundus images was assembled from 17 heterogeneous sources and partitioned at the patient level into training (70%), tuning (1...

Jungwoo Ha, Ye-On-Hee Choi, Dan-Bi Lee et al. · 0 citations

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