Table 5 Experimental analysis of proposed classifier based on 80–20.
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 | 0.8241 | 0.8446 | 0.8069 | 0.7778 | 0.8383 | 0.7229 |
Swin Transform | 0.8451 | 0.8649 | 0.8162 | 0.8506 | 0.7844 | 0.7618 |
U-Net | 0.8661 | 0.8904 | 0.8440 | 0.8625 | 0.8263 | 0.7888 |
Improved U-Net | 0.8871 | 0.9088 | 0.8693 | 0.8827 | 0.8563 | 0.8189 |
