Table 6.

Performance comparison in the entire test data.

Segmentation Model	Accuracy	RMSE	IoU	Dice Coefficient
ENet	79.9	19.24	81.88	81.15
MAB-Ensemble	90.28	13.92	91.51	92.73
PINet	79.57	19.52	81.55	80.72
ResNet101	76.61	20.43	78.51	77.59
ResNet50	75.1	20.84	76.97	75.77
SqueezeNet	79.2	19.43	81.17	80.71
VGG16Net	76.27	20.16	78.15	76.49