Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images

Table 2

Features of GLCM.

S/number	Name	Equation
1	Mean ()	;
2	Standard deviations (	;
2.1	Autocorrelation ()
2.2	Contrast ()
2.3	Correlation ()
2.4	Cluster prominence ()
2.5	Cluster shade ()
2.6	Dissimilarity ()
2.7	Energy ()
2.8	Entropy ()
2.9	Homogenecity ()
2.10	Maximum probability ()
2.11	Sum of squares ()
2.12	Sum average ()
2.13	Sum variances ()
2.14	Sum entropy ()
2.15	Difference variance ()
2.16	Difference entropy ()
2.17; 2.18	Information measures of correlation-1 (); Information measures of correlation-2 ()	where HX and HY are entropies of   and
2.19	Inverse difference ()	Same as homogenecity
2.20	Inverse difference normalized INN ()	= the co-occurrence probability between grey levels i and j is defined as
2.21	Inverse difference moment normalized ()