EyeBench-V2 is a new benchmark that evaluates retinal fundus enhancement models using downstream clinical tasks, generalization tests, and structured expert assessments to measure real diagnostic utility.
Self-supervised equivariant regu- larization reconciles multiple-instance learning: Joint refer- able diabetic retinopathy classification and lesion segmenta- tion
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Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
EyeBench-V2 is a new benchmark that evaluates retinal fundus enhancement models using downstream clinical tasks, generalization tests, and structured expert assessments to measure real diagnostic utility.