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Papers Benchmarks Datasets Tasks

Medical Image Classification research benchmarks – Page 4 · SOTA2 Research

Medical Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

VinDr-CXR (random)

KnoBo (w/o LLM findings extraction)

46Accuracy

19

Feb 26, 2026

Open-i (random)

73.3Accuracy

19

Feb 26, 2026

NIH-CXR (random)

68.4Accuracy

19

Feb 26, 2026

COVID-QU (random)

KnoBo (w/o LLM findings extraction)

95.3Accuracy

19

Feb 26, 2026

Pneumonia (random)

89.9Accuracy

19

Feb 26, 2026

99.94Accuracy

19

Apr 20, 2026

Fed-Camelyon (Round 5)

97.29Accuracy

19

Feb 26, 2026

Fed-ISIC (Round 5)

68.46Balanced Accuracy

19

Feb 26, 2026

Fed-ISIC Round 2

65.18BMA

19

Feb 26, 2026

68.9AUC

18

Jun 11, 2026

72.47AUC

18

Jun 11, 2026

15F1 Score

18

Apr 21, 2026

85Accuracy

18

Apr 21, 2026

99.8AUC

18

May 27, 2026

100AUC

18

May 27, 2026

MIDRC-XR Portable

99.75AUC

18

Feb 26, 2026

99.08AUC

18

Feb 26, 2026

99.72AUC

18

Feb 26, 2026

Kaggle Melanoma (test)

0.315AUPRC

18

Feb 26, 2026

0.827Mean AUROC

18

Feb 26, 2026

BreaKHis downsampling eighth x8↓

77.93Accuracy

17

Feb 26, 2026

BreaKHis downsampling quarter (x4↓)

86.81Accuracy

17

Feb 26, 2026

BreaKHis downsampling half (x2↓)

89.63Accuracy

17

Feb 26, 2026

BreaKHis high-resolution

89.52Accuracy

17

Feb 26, 2026

Graph Coverage Selection

93.4Balanced Accuracy

16

Jun 23, 2026

Page 4 of 14

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