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Papers Benchmarks Datasets Tasks

Medical Image Classification research benchmarks – Page 13 · SOTA2 Research

Medical Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

OCT-11k Target domain (Topcon)

79.78Accuracy

3

Feb 26, 2026

OCT-11k (Source domain (Zeiss))

85.33Accuracy

3

Feb 26, 2026

98.33Clean Accuracy

2

Jun 23, 2026

MLE-Bench RSNA Brain Tumor

0.652Score

2

May 27, 2026

Ophthalmology Diabetic Retinopathy

85.7AUC

2

Apr 8, 2026

Chronic Kidney Disease (test)

80.57Accuracy

2

Feb 26, 2026

Cardiovascular Disease (test)

79.34Accuracy

2

Feb 26, 2026

Breast Cancer (test)

81.11Accuracy

2

Feb 26, 2026

ISIC 2018 (test)

98.43Accuracy

2

Feb 26, 2026

76.6Accuracy

2

Feb 26, 2026

82.5Accuracy

2

Feb 26, 2026

99.9Accuracy

2

Feb 26, 2026

CheXpert global (test)

77.88Accuracy

2

Feb 26, 2026

CheXpert local (test)

76.98Accuracy

2

Feb 26, 2026

68.55Accuracy

2

Feb 26, 2026

78.57Accuracy

2

Feb 26, 2026

All-X-ray reference all-patient cohort 155 images / 85 patients (val)

Teacher-only X-ray

69.4Accuracy

1

Apr 1, 2026

99.93AUC

1

Mar 24, 2026

100AUC

1

Mar 24, 2026

Retinal OCT (evaluation)

91.17Accuracy

1

Mar 24, 2026

Pneumonia Chest X-ray (evaluation)

98.95Accuracy

1

Mar 24, 2026

Tuberculosis Chest X-ray (evaluation)

99.21Accuracy

1

Mar 24, 2026

Covid-19 Chest X-ray (evaluation)

97.41Accuracy

1

Mar 24, 2026

Chronic Kidney Disease (val)

83.1Accuracy

1

Feb 26, 2026

Chronic Kidney Disease (train)

87.4Accuracy

1

Feb 26, 2026

Page 13 of 14

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