表 1. Quantitative comparison of different methods on DSB2018 and TNBC datasets.

不同方法在DSB2018和TNBC数据集上的分割定量表示

数据集	网络	HD/cm	PRE/(%)	DSC/(%)	SEN/(%)	MIOU/(%)
DSB2018	FCN	2.712	85.41	80.91	85.15	81.52
	UNet	2.750	85.84	81.70	85.31	82.83
	Deeplabv3	2.629	86.68	82.61	86.60	84.03
	ResUNet	2.621	87.35	82.29	86.95	83.98
	CBAM-ResUNet	2.212	88.10	83.99	88.65	85.95
	DCA-ResUNet	2.179	92.01	88.91	90.09	89.01
TNBC	FCN	2.853	78.12	72.99	80.17	78.53
	UNet	2.756	80.64	81.72	83.59	80.15
	Deeplabv3	2.631	79.72	82.32	84.58	79.53
	ResUNet	2.617	83.41	83.29	86.93	83.89
	CBAM-ResUNet	2.254	88.53	83.99	89.21	86.45
	DCA-ResUNet	2.195	89.21	89.13	91.10	89.12