Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets

Table 6

Stability statistics of rough set reduction subsets.

	Training set/testing set	Accuracy (%)	Sensitivity (%)	Specificity (%)	Running time (s)
Before fusion	50/20	97.35	94.71	100	0.4873
	40/30	96.53	93.08	98.32	0.3846
	35/35	95.83	92.39	97.79	0.4254
	30/40	96.16	95.58	96.74	0.3560
	20/50	94.88	94.63	95.86	0.4236
	Mean	96.15	94.08	97.742	0.4154
After fusion (Rs1)	50/20	99.71	99.41	100	0.2684
	40/30	98.96	99.58	98.46	0.2568
	35/35	98.65	99.23	98.08	0.2382
	30/40	98.37	98.60	98.14	0.2646
	20/50	98.25	97.67	98.84	0.2636
	Mean	98.79	98.84	98.70	0.2583