Research Article
Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images
Table 9
Description of selected features through hybrid SA-ANN feature selection.
| No. | Feature Code | Feature Name | Feature Set |
| | F37 | Smoothness of B component | CCFOS |
| | F163 | Short run high gray-level emphasis | GLRLM0 |
| | F 51 | Smoothness of S component | CCFOS |
| | F 82 | Sum of square | GLCM0 |
| | F 96 | Cluster Prominence | GLCM45 |
| | F 55 | Energy of S component | CCFOS |
| | F 146 | Homogeneity II | GLCM 135 |
| | F 19 | Mean color of S component | Colorimetric |
| | F 25 | Skewness of R component | CCFOS |
| | F 187 | Long run high gray-level emphasis | GLRLM 90 |
| | F 88 | Information Measure of Correlation | GLCM0 |
| | F 132 | Difference Entropy | GLCM 90 |
| | F 2 | Perimeter | Morphometric |
| | F 12 | MaxIntensity | Morphometric |
| | F 183 | High gray-level run emphasis | GLRLM 90 |
| | F4 | Solidity | Morphometric |
| | F 70 | Autocorrelation | GLCM 0 |
| | F 28 | Mean from G component | CCFOS |
| | F 168 | Run percentage | GLRLM0 |
| | F 128 | Sum Entropy | GLCM0 |
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