Table 4 Comparative Analysis of proposed classifier based on 70–30.

From: Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection

Model

Acc

AUC

F1

Precision

Recall

AP

ResNet

0.8482

0.8797

0.8095

0.8151

0.8041

0.7339

VGGNet

0.8451

0.8649

0.8162

0.8506

0.7844

0.7618

Swin transform

0.8583

0.8787

0.8333

0.8599

0.8084

0.7791

U-Net

0.8688

0.9058

0.8503

0.8503

0.8503

0.7886

Improved U-Net

0.8766

0.9135

0.8563

0.8750

0.8383

0.8044

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