Table 5.

Comparison of segmentation performance of different methods.

Models	Loss functions	Metrics (%)
		DSC	F2	PRE	RE
D-UNet	Enhance mixing loss	53.5	—	63.3	52.4
CLCI-NET	Dice loss	58.1	—	64.9	58.1
U-Net	WBCE-Tversky(β=0.8)	51.1	49.2	59.3	48.7
Attention U-Net	WBCE-Tversky(β=0.8)	53.2	55.6	62.6	56.2
DPAC-UNet	WBCE-Tversky(β=0.8), tolerance(δ=0.7, λ=4)	59.2	59.0	65.6	59.9