Table 7.

Summary of deep learning-based methods.

Study	Year	Datasets	No. of Patients	Performance				Image Modalities	Time/ Equipment	Category
				Dice (%)	ASD (mm)	HD (mm)	IoU (%)
Ibragimov [77]	2015	In-house	50	$89.50\pm 3.60$	—	—	—	CT	4 min/GPU	DL
Kodym [78]	2019	PDDCA	35	$94.60\pm 0.70$	$0.29\pm 0.03$	—	—	CT	—	DL
Yan [79]	2018	In-house	93	$90.76\pm 2.45$	—	—	$85.44\pm 3.99$	CT	—/GPU	DL
Xue [80]	2021	PDDCA	48	$94.00\pm 2.00$	$0.49\pm 0.18$	$2.36\pm 0.62$	—	CT	—/GPU	DL