A Markov Random Field and Adaptive Regularization Embedded Level Set Segmentation Model Solving by Graph Cuts

Table 2

Region overlap metrics of different algorithms corresponding to Figure 5 in the same order.

Image no.	Algorithms	JS	DSC	FPR	FNR
Image #1	GAC	0.5646	0.7217	0.3699	0.1554
	LSR	0.2585	0.4107	0.7415	0.3009
	CV	0.7386	0.8496	0.0983	0.1967
	FTC	0.7041	0.8264	0.0442	0.2722
	LBF	0.6859	0.8137	0.0048	0.3119
	LAC	0.8359	0.9106	0.0383	0.1353
	LPFE	0.7004	0.8238	0.0418	0.2776
	NFT	0.3399	0.5073	0.5828	0.3528
	Our method	0.9567	0.9779	0.0035	0.0208
Image #2	GAC	0.8283	0.9061	0.1601	0.0164
	LSR	0.7700	0.8700	0.1302	0.1297
	CV	0.8797	0.9360	0.0162	0.1074
	FTC	0.8646	0.9274	0.0202	0.1197
	LBF	0.7300	0.8440	0.0200	0.2589
	LAC	0.6759	0.8066	0.1711	0.2146
	LPFE	0.8626	0.9262	0.0206	0.1215
	NFT	0.6217	0.7667	0.2650	0.1987
	Our method	0.9609	0.9800	0.0104	0.0155
Image #3	GAC	0.6232	0.7679	0.3101	0.1344
	LSR	0.6243	0.7687	0.3604	0.0369
	CV	0.6428	0.7826	0.2178	0.2171
	FTC	0.6327	0.7750	0.2554	0.1920
	LBF	0.1589	0.2743	0.3766	0.8242
	LAC	0.0581	0.1099	0.7854	0.9261
	LPFE	0.3726	0.5429	0.1091	0.6096
	NFT	0.4171	0.5887	0.5100	0.2628
	Our method	0.9494	0.9740	0.0328	0.0190
Image #4	GAC	0.7018	0.8247	0.1245	0.2204
	LSR	0.5989	0.7492	0.1311	0.3416
	CV	0.3637	0.5334	0.3006	0.6363
	FTC	0.4062	0.5777	0.4030	0.5938
	LBF	0.2854	0.4440	0.5101	0.7146
	LAC	0.2692	0.4242	0.0794	0.7244
	LPFE	0.4198	0.5913	0.0236	0.5800
	NFT	0.5879	0.7405	0.1243	0.3586
	Our method	0.9553	0.9772	0.0230	0.0227
Image #5	GAC	0.5390	0.7004	0.0532	0.4442
	LSR	0.6471	0.7857	0.3051	0.0961
	CV	0.5587	0.7169	0.3237	0.2374
	FTC	0.5463	0.7066	0.3523	0.2226
	LBF	0.5538	0.7129	0.0100	0.4430
	LAC	0.5972	0.7478	0.3082	0.1864
	LPFE	0.5387	0.7002	0.3597	0.2276
	NFT	0.4304	0.6018	0.2255	0.5079
	Our method	0.9702	0.9849	0.0081	0.0121