Research Article
A Hybrid DE-RGSO-ELM for Brain Tumor Tissue Categorization in 3D Magnetic Resonance Images
Table 9
Comparison of various tumor classification methods.
| SPL dataset | Traditional approach [32] | kNN approach [5] | (IELM approach) [28] | Proposed EM-RGSO | Sensitivity | Specificity | Sensitivity | Specificity | Sensitivity | Specificity | Sensitivity | Specificity |
| Case 1 | 100 | 100 | 100 | 100 | 99.8 | 100 | 100 | 100 | Case 2 | 82.2 | 99.9 | 94.7 | 99.9 | 97.8 | 99.8 | 98.20 | 99.9 | Case 3 | 93.6 | 100 | 79.8 | 100 | 94.56 | 99.8 | 95.61 | 100 | Case 4 | 73.3 | 100 | 73.3 | 100 | 72.4 | 100 | 73.6 | 100 | Case 5 | 79.3 | 99.9 | 83.7 | 100 | 80.6 | 99.6 | 81.2 | 100 | Case 6 | 90.5 | 99.9 | 96 | 99.9 | 93.5 | 99.6 | 94.9 | 99.9 | Case 7 | 94.6 | 99.9 | 94.7 | 99.9 | 94.2 | 99.8 | 94.1 | 99.6 | Case 8 | 73.6 | 99.9 | 93.1 | 99.9 | 88.6 | 99.4 | 88.1 | 99.9 | Case 9 | 91.8 | 99.9 | 99.3 | 99.8 | 96.8 | 99.5 | 97.92 | 99.9 | Case 10 | 97.8 | 100 | 95.6 | 99.8 | 96.8 | 99.6 | 97.4 | 99.8 |
| Average | 87.67 | 99.9 | 91.02 | 99.9 | 91.506 | 99.71 | 92.103 | 99.9 |
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