Table 3.

Progressive architectural enhancement analysis on HAM10000 dataset.

Model configuration	Loss train	Loss valid	PACC train	PACC valid	Dice train	Dice valid	IoU train	IoU valid	Sensitivity train	Sensitivity valid	Specificity train	specificity valid
U-Net (Baseline)	0.124	0.182	0.955	0.948	0.895	0.852	0.739	0.642	0.900	0.872	0.976	0.915
U-Net + SAM	0.114	0.162	0.961	0.948	0.959	0.927	0.936	0.902	0.959	0.910	0.972	0.946
+ Hyper-Attention	0.105	0.153	0.979	0.960	0.974	0.946	0.959	0.913	0.972	0.973	0.973	0.971
Complete Framework	0.102	0.150	0.987	0.969	0.980	0.958	0.961	0.925	0.973	0.954	0.975	0.972