New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy -Means Method

Table 2

Obtained numerical values ​​of parameters for evaluating the methods.

	Accuracy		Specificity		CPU time (s)		Sensitivity
	Proposed method	FCM	Proposed method	FCM	Proposed method	FCM	Proposed method	FCM
1	90.8162	79.9731	94.8538	86.8731	26.4633	13.3803	81.4028	66.0423
2	90.6447	83.7657	93.3653	90.6657	28.1738	12.9897	84.0966	69.3967
3	91.7966	80.8673	94.1179	87.7673	26.2593	12.8417	85.9281	66.0162
4	91.8856	82.1712	94.6972	89.0712	27.7998	13.0039	85.1578	67.5289
5	90.0606	79.9939	95.2727	86.8939	27.8846	12.6965	78.7255	65.8467
6	90.9693	82.6119	95.4779	89.5119	27.9874	12.7320	80.4873	68.2596
7	90.8368	80.5778	94.2416	87.4778	26.4189	13.5421	82.9291	66.2105
8	91.4389	82.9245	93.0159	89.8245	27.0496	13.5561	87.4726	68.2476
9	91.6281	83.1353	93.0479	90.0353	26.7697	13.1752	87.8618	68.6122
10	91.7641	83.4889	93.3725	90.3889	27.8501	12.6598	87.616	69.1785
11	90.3281	81.7032	95.1222	88.6032	27.1128	12.8348	79.2888	66.7889
12	91.5391	79.5029	93.3628	86.4029	28.0713	12.9532	86.8553	65.4594
13	91.4653	80.3739	95.0429	87.2739	26.6137	13.4212	82.8265	66.2031
14	89.9878	84.4800	93.3306	91.3800	26.7776	12.6154	81.8539	70.3916
15	89.8570	79.9143	95.3878	86.8143	26.5411	12.6430	77.7472	65.8231
16	90.9951	83.9549	93.6500	90.8549	26.5221	12.7690	84.6546	69.4204
17	92.3792	82.2301	93.1898	89.1301	27.9886	13.2491	90.2483	67.8824
18	90.5212	84.9768	93.3533	91.8768	27.4094	13.3317	83.6607	70.8854
19	91.2558	79.4691	94.4481	86.3691	27.3497	13.2477	83.7154	64.8601
20	90.1714	81.6561	94.0199	88.5561	26.5399	13.0509	81.2759	67.0796
Mean	91.017	81.888	94.118	88.788	27.179	13.034	83.6204	67.5067