Lung Cancer Detection Using Image Segmentation by means of Various Evolutionary Algorithms

Table 3

Statistical results from the k-median clustering segmentation algorithm.

Images	True positive rate	True negative rate	False positive rate	False negative rate	Accuracy
Image 1	87.9631	90.6864	9.3136	12.3069	89.3672
Image 2	86.5908	90.1719	9.8281	13.4092	88.5622
Image 3	83.3821	88.9051	11.0949	16.6179	86.2969
Image 4	82.0844	86.3637	13.6363	17.9156	84.2695
Image 5	83.2410	85.7769	14.2231	16.7590	84.5294
Image 6	82.5053	84.2412	15.7588	17.4947	83.3654
Image 7	81.1107	80.4281	19.5719	18.8893	80.7832
Image 8	80.1857	79.4033	20.5967	19.8143	79.8186
Image 9	82.1213	79.7647	20.2353	17.8787	80.9977
Image 10	80.6627	79.1577	20.8423	19.3373	79.9611
Image 11	82.0209	79.1588	20.8412	17.9791	80.6621
Image 12	84.3809	80.4121	19.5879	15.6191	82.4514
Image 13	82.0487	80.3496	19.6504	17.9513	81.2545
Image 14	80.4506	79.4375	20.5625	19.5494	79.9876
Image 15	81.3002	80.0536	19.9464	18.6998	80.7248
Image 16	80.1942	80.0503	19.9497	19.8058	80.1291
Image 17	80.2984	80.3756	19.6244	19.7016	80.3332
Image 18	78.6327	85.5226	14.4774	21.3673	81.7792
Image 19	78.9322	85.2163	14.7837	21.0678	81.8439
Image 20	77.2752	85.8000	14.2000	22.7248	81.0973