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Papers Benchmarks Datasets Tasks

Medical Image Classification research benchmarks – Page 7 · SOTA2 Research

Medical Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MedMNIST BreastMNIST (37%)

90.7AUC

11

Feb 26, 2026

UKBB Infarction 4%

77.9AUC

11

Feb 26, 2026

DermaMNIST v2 (test)

91.35AUCOC

11

Feb 26, 2026

Real (last five rounds average)

55.12BACC

11

Feb 26, 2026

Matek-19 non-IID Dirichlet alpha=0.5

95.8Accuracy

10

Jul 7, 2026

96.2Accuracy

10

Jul 7, 2026

HAM10000 Dirichlet alpha=0.5 (non-IID)

81.1Accuracy

10

Jul 7, 2026

83.5Accuracy

10

Jul 7, 2026

98.5Accuracy

10

Jul 3, 2026

GliomaMRI (20% hold-out split)

44.4Balanced Accuracy

10

Jun 2, 2026

ConvNeXt-Tiny Ensemble (Ensemble 1000/15)

97.82Accuracy

10

May 22, 2026

PathMNIST 40% Noise

96.8Sensitivity

10

Apr 28, 2026

PathMNIST 20% Noise

95Sensitivity

10

Apr 28, 2026

PathMNIST 0% Noise

88.7Sensitivity

10

Apr 28, 2026

DermaMNIST 40% Noise

98.7Sensitivity

10

Apr 28, 2026

DermaMNIST 20% Noise

97.7Sensitivity

10

Apr 28, 2026

DermaMNIST 0% Noise

97.7Sensitivity

10

Apr 28, 2026

70.15Accuracy

10

Apr 21, 2026

69.57Average Accuracy

10

Mar 13, 2026

Federated Non-IID Medical Imaging (CheXpert, ChestX-ray8, VinDr-CXR) with equal number of examples Linear Classification Protocol

95.73Accuracy

10

Feb 26, 2026

72.4Accuracy

10

Feb 26, 2026

MedMambaLite-ST

192.3Throughput (Inference/Sec)

9

Jul 7, 2026

81.68ROC-AUC

9

Jun 30, 2026

91.05Mean Accuracy

9

Apr 3, 2026

79.37Retinal Accuracy

9

Feb 26, 2026

Page 7 of 14

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CheXpert MedMnist ISIC MIMIC Skin

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