Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images
Table 5
Features selected by WEKA software.
S/number
Feature category
Number of features before feature selection
Number of features after feature selection
Selected features
1
Intensity histogram
6
4/6
Variance, Skewness, Kurtosis, and Entropy
2
GLCM
22
11/22
Contrast, correlation-1, correlation-2, cluster shade, homogeneity, maximum probability, sum of squares: variance, sum variance, difference entropy, information measure of correlation-1, and information measure of correlation-2
3
GLRLM
11
6/11
Short run emphasis, gray-level nonuniformity, low gray-level run emphasis, high gray-level run emphasis, short run high gray-level emphasis, and long run high gray-level emphasis
4
Invariant moments
7
4/7
, , , and
5
Mixed features
47
9/47
Homogeneity, sum of average, difference variance, information measure of correlation-1, information measure of correlation-2, inverse difference normalized, short run emphasis, short run high gray-level emphasis, and length
