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Skin lesion classification research benchmarks · SOTA2 Research

Skin lesion classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

HAM10000 (test)

93.32Accuracy

83

Feb 26, 2026

ISIC Asymmetric Noise 2019

66.3Balanced Accuracy

32

May 22, 2026

ISIC Symmetric Noise 2019

63.2Balanced Accuracy

32

May 22, 2026

ISIC 2018 (test)

97.7AUC

30

May 12, 2026

ISIC 3-way 5-shot 2018 (test)

81.16Accuracy

28

Feb 26, 2026

ISIC 3-way 3-shot 2018 (test)

75.82Accuracy

28

Feb 26, 2026

ISIC 3-way 1-shot 2018 (test)

64.15Accuracy

28

Feb 26, 2026

93.95Accuracy

27

Feb 26, 2026

Two-Stage ResNet50

88.34Accuracy

22

Jun 17, 2026

88.7B-ACC

20

May 22, 2026

FedSkin Global alpha=0.5 (test)

83.64Mean Metric

17

Mar 13, 2026

FedSkin alpha=0.5 (test)

89.27Metric M1

17

Mar 13, 2026

FedSkin Global alpha=1 (test)

84.59Mean Classification Score

17

Mar 13, 2026

FedSkin Local alpha=1 (test)

88.41Accuracy

17

Mar 13, 2026

Fitzpatrick-17k (test)

0.879Accuracy

17

Feb 26, 2026

ISIC 2019 (test)

86.11Accuracy

16

Mar 18, 2026

2.2Expected Calibration Error (ECE)

15

Apr 30, 2026

85B-ACC

12

Mar 24, 2026

Aggregate (Derm7pt, PAD, PH2) (out-of-distribution)

84.11Avg ROC-AUC

12

Feb 26, 2026

PH2 (out-of-distribution)

0.919ROC AUC

12

Feb 26, 2026

PAD (out-of-distribution)

88.13ROC AUC

12

Feb 26, 2026

derm7pt clinical (out-of-distribution)

0.74ROC AUC

12

Feb 26, 2026

derm7pt dermoscopic (out-of-distribution)

0.837ROC AUC

12

Feb 26, 2026

91.364Accuracy

11

Jun 1, 2026

0.872Accuracy

11

Feb 26, 2026

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ISIC HAM10000 FedSkin Derm7pt PAD-UFES

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