Table 5.

Results comparison of nodule segmentation models.

Year	Author	Dataset	PPV (%)	SEN (%)	DSC (%)	IOU	Architecture	Approach
2020	Dong et al. [67]	LIDC-IDRI	93.6	98.10	92.6	-		Multiview
2020	Cao et al. [72]	LIDC-IDRI	79.64	89.35	82.74	-		Multiview
2017	Wang et al. [66]	LIDC-IDRI	77.59	83.72	77.67	-		Multiview
2017	Wang et al. [69]	LIDC-IDRI/GDGH	75.84	92.75	82.15	-		Multiview
2017	Shen et al. [70]	Random datasets	87.14	0.77	-	-	MC-CNN	Multiview
2021	Pezzano et al. [65]	LIDC-IDRI	-	-	-	76.6	Nodule type	General
2020	Keetha et al. [54]	LUNA16	78.92	92.24	82.82	-	U-Net et al.	General
2020	Kumar et al. [55]	LUNA16	-	-	96.15	-	U-Net et al.	General
2020	Usman et al. [56]	LIDC-IDRI	88.24	91.62	87.55	-		General
2019	Huang et al. [57]	LUNA16	-	-	79.3	-	U-Net et al.	General
2018	Wu et al. [53]	LIDC-IDRI	-	-	73.98	-	U-Net et al.	General
2018	Tong et al. [59]	LUNA16	-	-	73.6	-	U-Net et al.	General
2018	Zhao et al. [60]	LIDC-IDRI	-	-	-	-	U-Net et al.	General
2018	Liu et al. [76]	LIDC-IDRI	-	-	-	-	FCN	General
2019	Aresta et al. [58]	LIDC-IDRI	-	-	-	55		Nodule type
2019	Hesamian et al. [75]	LIDC-IDRI	-	-	81.24	-		-
2018	Khosravan et al. [77]	LUNA16	-	98	91	-		semi-supervised
2019	Tang et al. [74]	LIDC-IDRI	-	-	83.10	-		-