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SOTA Skin lesion classification benchmarks and papers with code | Wizwand
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Skin lesion classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
HAM10000 (test)
FedAvg-SL
Accuracy
93.32
83
3d ago
ISIC 2018 (test)
FedAvg
AUC
97.7
30
3d ago
ISIC 3-way 5-shot 2018 (test)
Hybrid distil
Accuracy
81.16
28
3d ago
ISIC 3-way 3-shot 2018 (test)
Hybrid distil
Accuracy
75.82
28
3d ago
ISIC 3-way 1-shot 2018 (test)
Hybrid distil
Accuracy
64.15
28
3d ago
ISIC 2019
Ji et al.
Accuracy
93.95
27
3d ago
Fitzpatrick-17k (test)
CFair
Accuracy
0.8791
17
3d ago
Aggregate (Derm7pt, PAD, PH2) (out-of-distribution)
EPVT
Avg ROC-AUC
84.11
12
3d ago
PH2 (out-of-distribution)
EPVT
ROC AUC
0.9191
12
3d ago
PAD (out-of-distribution)
CORAL
ROC AUC
88.13
12
3d ago
derm7pt clinical (out-of-distribution)
EPVT
ROC AUC
0.7396
12
3d ago
derm7pt dermoscopic (out-of-distribution)
EPVT
ROC AUC
0.8369
12
3d ago
ISIC 2019 (test)
ECL
Accuracy
86.11
11
3d ago
ISIC 2018
ECL
Accuracy
0.872
11
3d ago
HAM10000
soft voting ensemble of CNNs
Accuracy
96.32
9
2d ago
HAM10000 (test)
Reweighting
AUC
0.97
8
3d ago
molemap+
Hyperbolic prototype net
Accuracy
61.04
8
3d ago
DDI v1 (test)
Guided-tuning (GT)
Accuracy
79
7
3d ago
PAD-UFES-20 v1 (test)
CT-pretrain + GT
Accuracy
88
7
3d ago
HAM10000 1,000-image subset 1.0
Custom CNN
Accuracy
78.5
4
3d ago
ISIC 2016
soft voting ensemble of CNNs
Accuracy
90.86
3
3d ago
BCN20000 (external val)
ERM (Baseline)
AUC
77
2
3d ago
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