Table 7.

Performance comparison of the proposed network and the state-of-the-art methods on ISIC 2018 dataset

Method	F1-score	Sensitivity	Specificity	Accuracy	AUC
Unet	85.07	80.65	96.44	91.95	88.54
R2U-Net	84.90	78.47	97.46	92.06	87.97
Attention Unet	84.97	79.57	96.93	91.99	88.25
BCDU	85.44	83.56	95.21	91.89	89.39
Unet++	87.86	83.35	97.46	93.45	90.41
DeeplabV3+	85.85	80.28	97.32	92.47	88.80
Ours	86.27	86.28	94.54	92.19	90.41

Bold values indicate the best result of each metric