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

Table 4

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

Image #	Homogeneity	IMC 1	IMC 2	Inverse difference	Highest probability	Sum average	Sum entropy	Sum of square variance	Sum variance
1	−0.916	−0.914	0.654	0.997	0.717	2.372	0.407	0.553	0.662
2	−0.900	−0.879	0.212	0.992	0.531	2.357	0.552	0.506	0.711
3	−0.884	−0.88	0.625	0.991	0.891	2.68	0.69	0.147	0.374
4	−0.891	−0.929	0.476	0.992	0.529	2.472	0.601	0.147	0.21
5	−0.911	−0.903	0.476	0.992	0.692	2.517	0.558	0.211	0.091
6	−0.895	−0.915	0.274	0.993	0.865	2.532	0.23	0.123	0.075
7	−0.915	−0.875	0.713	0.993	0.674	2.308	0.384	0.397	0.43
8	−0.882	−0.914	0.405	0.991	0.771	2.41	0.495	0.659	0.554
9	−0.881	−0.859	0.355	0.995	0.861	2.434	0.423	0.517	0.078
10	−0.888	−0.866	0.416	0.992	0.891	2.194	0.198	0.453	0.483
11	−0.917	−0.905	0.437	0.992	0.911	2.437	0.296	0.68	0.382
12	−0.913	−0.895	0.544	0.995	0.584	2.517	0.629	0.174	0.14
13	−0.925	−0.877	0.554	0.997	0.614	2.356	0.179	0.709	0.677
14	−0.893	−0.865	0.449	0.998	0.896	2.602	0.645	0.181	0.433
15	−0.887	−0.885	0.451	0.995	0.762	2.539	0.213	0.451	0.328
16	−0.885	−0.888	0.525	0.998	0.722	2.316	0.538	0.204	0.679
17	−0.907	−0.911	0.614	0.995	0.77	2.373	0.445	0.479	0.479
18	−0.904	−0.899	0.799	0.995	0.861	2.332	0.29	0.113	0.336
19	−0.931	−0.876	0.655	0.993	0.735	2.565	0.484	0.616	0.068
20	−0.886	−0.86	0.452	0.994	0.589	2.541	0.237	0.67	0.393