Table 8.

Results of detecting pulmonary nodules and running time of using dense block in different sub-networks.

Methods	Accuracy	Sensitivity	Specificity	Running Time (s)
Dense block in parenchyma segmentation sub-network	0.9390	0.8988	0.9476	1.3411
Dense block in parenchyma segmentation and nodule candidate detection sub-networks	0.9392	0.8990	0.9480	3.2354
Dense block in parenchyma segmentation and nodule determination sub-networks	0.9395	0.8985	0.9486	3.1563
Dense block in all three sub-networks	0.9396	0.8992	0.9485	8.1823