Table 8 Performance estimation of HCNN method on BRATS 2019 dataset.
From: Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform
BRATS image sequences | Sensitivity (%) | Specificity (%) | Segmentation accuracy (%) | Pr (%) | TPR (%) | FPR (%) |
|---|---|---|---|---|---|---|
B1 | 99.3 | 99.1 | 99.7 | 99.3 | 98.7 | 99.3 |
B2 | 99.8 | 98.8 | 99.3 | 99.7 | 99.3 | 99.1 |
B3 | 99.2 | 98.9 | 99.1 | 99.2 | 99.1 | 99.8 |
B4 | 99.4 | 99.6 | 98.9 | 99.1 | 99.5 | 98.8 |
B5 | 99.7 | 99.8 | 98.5 | 99.1 | 99.3 | 98.6 |
B6 | 98.9 | 99.4 | 98.7 | 98.9 | 99.1 | 98.4 |
B7 | 98.6 | 99.7 | 99.3 | 99.3 | 99.2 | 98.7 |
B8 | 99.4 | 99.5 | 99.8 | 99.2 | 98.7 | 99.3 |
B9 | 99.7 | 99.1 | 99.6 | 99.4 | 98.9 | 99.1 |
B10 | 99.1 | 99.8 | 99.5 | 99.1 | 98.5 | 99.4 |
Average | 99.31 | 99.37 | 99.24 | 99.23 | 99.03 | 99.05 |
