A benchmark of six neural networks plus a stacked ensemble shows that training on synthetic fundus images transfers to real retinal disease classification, with macro-AUC up to 0.88 externally.
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Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
A benchmark of six neural networks plus a stacked ensemble shows that training on synthetic fundus images transfers to real retinal disease classification, with macro-AUC up to 0.88 externally.