Research Article
Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM
Table 7
Comparison of accuracies in different classifiers.
| Number of test images (normal = 67, abnormal = 134) | Evaluation parameter | ANFIS | Back Propagation | Proposed classifier (SVM) | -NN |
| True negative | 63 | 62 | 65 | 63 | False positive | 16 | 19 | 4 | 18 | True positive | 118 | 110 | 129 | 112 | False negative | 4 | 10 | 3 | 8 | Specificity (%) | 79.74 | 76.54 | 94.2 | 77.77 | Sensitivity (%) | 96.72 | 97.5 | 97.72 | 93.33 | Accuracy (%) | 90.04 | 85.57 | 96.51 | 87.06 |
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