Segmentation of Breast Tubules in H&E Images Based on a DKS-DoubleU-Net Model

Table 1

The quantitative comparison of the tubule segmentation results obtained by different models on the test set of the private clinical dataset.

Model	Dice	mIou	Recall	Precision	F1-score
DKS-DoubleU-Net	0.7002	0.5547	0.7636	0.7016	0.7313
DoubleU-Net+DenseNet	0.6897	0.5412	0.7442	0.7066	0.7249
DoubleU-Net+KSM	0.6820	0.5364	0.7165	0.7243	0.7204
DoubleU-Net	0.6798	0.5308	0.7450	0.6825	0.7124
U-Net	0.6115	0.4519	0.6568	0.6020	0.6282
ResNet++	0.3922	0.2672	0.6610	0.3081	0.4203
DeepLabV3+	0.5513	0.3955	0.5885	0.5651	0.5766
HRNet	0.6608	0.5085	0.6496	0.7188	0.6825