Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier

Table 3

Average value of the feature descriptors for the medical image datasets considered.

Feature descriptors	LIDC cancer datasets	Real time lung cancer datasets (PSGIMSR)
Average Short Run Emphasis (SRE)	1.1237	1.8936
Average Long Run Emphasis (LRE)	3.5671	4.6751
Average Short Run Low Gray-level Run Emphasis (SRLGE)	1.0546	1.7659
Average Short Run High Gray-level Run Emphasis (SRHGE)	0.9987	1.0054
Average Long Run Low Gray-level Run Emphasis (LRLGE)	4.2320	6.5783
Average Long Run High Gray-level Run Emphasis (LRHGE).	5.6342	7.0089
Average Contrast	0.0266	0.0657
Average Entropy	0.1765	0.4487
Average Angular Second Moment	0.9287	0.9651
Average Homogeneity	0.9734	0.9868
Average Variance	0.6571	0.6900
Average Correlation	0.3421	0.5764