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Multimodal eye disease classification research benchmarks · SOTA2 Research

Multimodal eye disease classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

In-house dataset Gaussian noise σ=0.3 on OCT (test)

82.9Accuracy

7

Feb 26, 2026

In-house dataset Gaussian noise σ=0.1 on Fundus (test)

81.4Accuracy

7

Feb 26, 2026

In-house dataset Original (test)

82.9Accuracy

7

Feb 26, 2026

GAMMA Gaussian noise σ=0.3 on OCT (test)

83Accuracy

7

Feb 26, 2026

GAMMA Gaussian noise σ=0.1 on Fundus (test)

66.6Accuracy

7

Feb 26, 2026

GAMMA Original (test)

85Accuracy

7

Feb 26, 2026

Popular datasets

GAMMA In-house dataset

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