Segmentation of Regions of Interest Using Active Contours with SPF Function

Table 1

Quantitative analysis based on Figure 10.

Method	Figure	Precision	Recall	True negative rate	Accuracy	CPU time (s)	Number of iterations
Proposed method	Brain tumor 1	0.8536	0.9799	0.9991	0.9990	28.2500	42
	Brain tumor 2	0.9511	0.9326	0.9996	0.9991	32.8125	36
	Lung cancer	0.9113	0.9777	0.9901	0.9889	17.8750	39
	Liver cancer	0.9579	0.9979	0.9986	0.9986	13.3906	31
Zhang et al.	Brain tumor 1	0.0417	1	0.8773	0.8779	16.7188	100
	Brain tumor 2	0.0635	1	0.8778	0.8788	22.7656	100
	Lung cancer	0.1683	1	0.4866	0.5350	13.7813	100
	Liver cancer	0.2494	1	0.9047	0.9076	12.4688	100
Jiang et al.	Brain tumor 1	0.0183	1	0.7128	0.7143	50.9844	100
	Brain tumor 2	0.0172	1	0.5270	0.5309	68.2344	100
	Lung cancer	0.1758	1	0.5130	0.5588	32.3700	100
	Liver cancer	0.1473	1	0.8166	0.8223	30.7031	100