Research Article
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 |
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