Lung Cancer Diagnosis Based on an ANN Optimized by Improved TEO Algorithm

Table 5

The GLCM data results of 20 first images from the lung CT-diagnosis database.

Image #	Autocorrelation	Cluster prominence	Cluster shade	Contrast	Correlation	Difference entropy	Difference variance	Dissimilarity	Energy	Entropy
1	1.5292	0.9281	0.2484	0.0031	0.951	0.0101	0.001	0.001	0.8911	0.2308
2	1.7732	1.4425	0.5614	0.0049	0.9617	0.017	0.003	0.0029	0.749	0.424
3	1.5332	0.9471	0.2584	0.0024	0.9637	0.0023	0.0005	0.0004	0.8903	0.2274
4	2.0352	1.5474	0.6374	0.0086	0.957	0.0357	0.0063	0.0066	0.6421	0.5764
5	1.4202	0.5069	0.0204	0.0031	0.9247	0.0045	0.001	0.002	0.9595	0.101
6	1.3862	0.3493	0.1646	0.0015	0.9515	0.0133	0.0014	0.0014	0.984	0.0444
7	0.7428	0.7435	0.3716	0.0035	0.9413	0.029	0.0033	0.0035	0.9226	0.1792
8	0.7528	0.8409	0.4256	0.0024	0.975	0.0352	0.0046	0.0044	0.9064	0.2137
9	0.7668	0.8365	0.4216	0.0007	0.994	0.0257	0.003	0.0029	0.9105	0.2015
10	1.4782	0.7423	0.3716	0.0029	0.9603	0.0381	0.0051	0.005	0.921	0.1889
11	1.5302	0.9288	0.4746	0.0024	0.9826	0.0353	0.0045	0.0046	0.891	0.2391
12	1.5432	0.9597	0.2674	0.0039	0.9666	0.0466	0.006	0.005	0.881	0.2612
13	1.7702	1.4266	0.5524	0.0057	0.9891	0.0522	0.0077	0.0058	0.7585	0.4381
14	1.7072	0.8725	0.5024	0.0071	0.9858	0.0315	0.005	0.004	0.784	0.3995
15	1.0348	0.9531	0.7806	0.0072	0.9916	0.0294	0.0052	0.0051	0.756	0.4349
16	0.8828	0.6969	0.6166	0.0038	0.9594	0.0109	0.0018	0.0017	0.8405	0.3082
17	0.8948	0.7077	0.6256	0.0091	0.9283	0.0383	0.009	0.0069	0.8264	0.3453
18	2.0578	1.2224	0.1826	0.0204	0.94	0.105	0.0199	0.02	0.4803	0.7899
19	0.6988	0.5715	0.2796	0.002	0.955	0.0184	0.002	0.0019	0.9541	0.1186
20	1.7448	1.3354	0.5706	0.0141	0.9508	0.0811	0.0141	0.014	0.5192	0.7325