[Retracted] Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network

Table 4

GLCM and FOS features.

Image no.	GLCM feature				FOS feature
	Contrast	Correlation	Energy	Homogeneity	Mean	Standard deviation	Skewness	Kurtosis	Entropy
1	0.008566	0.97740	0.6123	0.995717	0.006	0.01080	2.01778	6.76021	2.3850
2	0.005587	0.968634	0.8163	0.997207	0.013	0.018964	1.384442	3.37708	2.98339
3	0.005338	0.978297	0.7487	0.997331	0.009	0.012767	1.655632	4.73059	2.77234
4	0.005214	0.976312	0.7746	0.997393	0.011	0.013236	1.244131	3.33805	2.91287
5	0.006642	0.973369	0.7439	0.996679	0.011	0.019105	2.274177	7.10785	2.68715
6	0.005742	0.983522	0.6463	0.997129	0.006	0.010301	1.605176	4.28244	2.05357
7	0.008752	0.956693	0.7892	0.995624	0.008	0.010716	1.578003	4.13867	2.57759
8	0.004593	0.969224	0.8461	0.997703	0.010	0.01203	0.826578	2.47775	2.77483
9	0.009621	0.976871	0.5744	0.995189	0.011	0.01429	0.945757	2.65592	2.23901
10	0.00748	0.982728	0.5598	0.99626	0.010	0.008143	0.419944	2.28365	2.81441
11	0.0072	0.980558	0.6224	0.9964	0.014	0.01945	2.495946	12.0050	3.11189
12	0.00807	0.977549	0.6325	0.995965	0.012	0.01388	1.159288	3.16243	3.16398
13	0.00987	0.974196	0.6077	0.995065	0.014	0.02124	2.216729	9.24762	2.65219
14	0.013532	0.969236	0.5467	0.993234	0.008	0.010971	1.308686	4.27185	2.4252
15	0.013904	0.971696	0.4950	0.993048	0.009	0.013778	2.758114	11.6741	2.7070
16	0.015456	0.9312	0.7601	0.992272	0.009	0.010296	0.914299	2.52796	2.76609
17	0.009063	0.972961	0.6573	0.995469	0.006	0.01445	3.510672	15.6859	2.07587
18	0.011328	0.977156	0.4930	0.994336	0.011	0.019445	3.895612	19.3494	2.66697
19	0.009404	0.976413	0.5928	0.995298	0.008	0.021771	3.888284	17.3682	2.10227
20	0.003476	0.962276	0.9043	0.998262	0.016	0.023343	1.321097	3.09597	2.91838