Research Article
An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm
Table 5
Evaluation data of 26 patients with brain tumor segmentation using the SVM model.
| Number | DSC | Sensitivity | Specificity | Number | DSC | Sensitivity | Specificity |
| 1 | 0.8801 | 0.9020 | 0.9563 | 14 | 0.8695 | 0.8896 | 0.9411 | 2 | 0.8768 | 0.8963 | 0.9368 | 15 | 0.8753 | 0.8976 | 0.9520 | 3 | 0.8893 | 0.9158 | 0.9605 | 16 | 0.8536 | 0.8729 | 0.9264 | 4 | 0.8682 | 0.8910 | 0.9482 | 17 | 0.8463 | 0.8667 | 0.9118 | 5 | 0.8926 | 0.9089 | 0.9795 | 18 | 0.8831 | 0.9053 | 0.9786 | 6 | 0.8796 | 0.8998 | 0.9385 | 19 | 0.8920 | 9107 | 0.9632 | 7 | 0.8859 | 0.9096 | 0.9543 | 20 | 0.8697 | 0.8896 | 0.9408 | 8 | 0.8633 | 0.8859 | 0.9386 | 21 | 0.8787 | 0.9006 | 0.9602 | 9 | 0.8828 | 0.9010 | 0.9715 | 22 | 0.8811 | 0.9120 | 0.9632 | 10 | 0.8989 | 0.9157 | 0.9634 | 23 | 0.8980 | 0.9234 | 0.9728 | 11 | 0.9003 | 0.9236 | 0.9726 | 24 | 0.8479 | 0.8752 | 0.9388 | 12 | 0.8429 | 0.8695 | 0.9367 | 25 | 0.8256 | 0.8610 | 0.9286 | 13 | 0.8396 | 0.8600 | 0.9302 | 26 | 0.8694 | 0.8887 | 0.9385 |
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