Morphological differences that exist in images belonging to patients with the same biological condition; images taken from HAM10000 dataset.
Normal 1
Normal 2
Malignant 1
Malignant 2
Analysing the performance of EfficientNet from B0 to B7
Dataset
EfficientNetB0
EfficientNetB1
EfficientNetB2
EfficientNetB3
EfficientNetB4
EfficientNetB5
EfficientNetB6
EfficientNetB7
HAM10000
0.804
0.809
0.777
0.727
0.719
0.742
0.680
0.680
ISBI2016
0.611
0.945
0.941
0.815
0.815
1.000
0.945
0.829
ISBI2017
0.908
0.929
0.954
0.931
0.833
0.952
0.881
0.881
MED-NODE
0.610
0.568
0.597
0.672
0.652
0.470
0.517
0.585
MSK-1
0.520
0.598
0.271
0.067
0.758
0.406
0.067
0.067
MSK-2
0.736
0.738
0.602
0.699
0.733
0.590
0.669
0.769
MSK-3
0.803
1.000
1.000
1.000
1.000
1.000
1.000
1.000
MSK-4
0.800
0.710
0.619
0.608
0.619
0.800
0.721
0.670
PH2
0.800
1.000
1.000
1.000
1.000
1.000
1.000
1.000
UDA-1
0.511
0.632
0.479
0.424
0.538
0.411
0.436
0.553
UDA-2
0.539
0.452
0.449
0.468
0.473
0.493
0.580
0.512
Friedman’s ranking
4.318
3.409
4.682
5.136
4.545
4.409
4.955
4.545
Average MCC values on test data by applying data augmentation and transfer learning. The Friedman’s test did not reject the null hypothesis with a p-value equal to 0.841; Friedman’s statistic was equal to 3.447 with seven degrees of freedom.
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