Table 10.

Summary of attention strategies of deep learning-based methods.

Study	Year	Datasets	No. of Patients	Performance					Image Modalities	Time/ Equipment	Category
				Dice (%)	ASD (mm)	95HD (mm)	Rec/Sen (%)	PPV (%)
Gou [93]	2020	PDDCA	48	$94.00\pm 1.00$	$0.47\pm 0.11$	$1.40\pm 0.02$	$93.00\pm 2.00$	$95.00\pm 2.00$	CT	2 s/GPU	DL
Jiang [94]	2019	In-house + PDDCA	48 + 48	$93.00\pm 1.00$ (trained in in-house dataset)	—	—	—	—	CT	0.1 s/GPU	DL
Sun [95]	2020	In-house	129	$94.05\pm 1.08$	—	—	—	—	CT	—/GPU	DL
Liu [96]	2020	StructSeg2019	50	$90.28\left(L\right)$; $90.81\left(R\right)$	—	—	—	—	CT	—/GPU	DL