Research Article
Multiconvolutional Transfer Learning for 3D Brain Tumor Magnetic Resonance Images
Table 3
Performance metrics - comparison analysis.
| Reference | Method | Accuracy | Sensitivity | Specificity |
| [24] | Support vector machine (SVM) | 87–89% | 78.5–81% | 62–64.5% | [25] | K nearest neighbor (KNN) | 85–86.2% | 81.1–82.6% | 63.6–67.2% | [26] | Naive bayes | 78.2–83.4% | 84.8–85% | 62–65% | [27] | Deep neural network (DNN) | 89.3–91% | 83–85$ | 64–69.8% | [28] | Convolutional neural network (CNN) | 91.3–92.7% | 82.2–84% | 68–69% | | Proposed MCTL | 93.2–94% | 78–85% | 61–73% |
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