Table 3.

Comparison of nuclear segmentation between the fused ENet with UNet, fused UNet, and multitask learning

Input size	Recall	Precision	F1-Score	Standard Error
UNet	0.86	0.81	0.83	1.2786e-06
Fused-UNet	0.89	0.86	0.87	1.1921e-06
Multi-task UNet	0.87	0.77	0.81	1.3117e-06
ENet	0.83	0.88	0.84	1.1412e-06
Fused-ENet	0.94	0.88	0.91	1.1124e-06
Multi-task ENet	0.89	0.83	0.86	1.2690e-06

The italic items illustrate the best results