Table 6 Inception-V3 deep learning approach.
From: Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images
Phases | Training | Validation | ||||||
|---|---|---|---|---|---|---|---|---|
Classes | Normal | Glioma | Meningioma | Pituitary | Normal | Glioma | Meningioma | Pituitary |
Accuracy | 0.96 | 0.97 | 0.96 | 0.97 | 0.94 | 0.97 | 0.96 | 0.97 |
Miss Rate | 0.04 | 0.03 | 0.04 | 0.03 | 0.06 | 0.03 | 0.04 | 0.03 |
Sensitivity | 0.937 | 0.97 | 0.95 | 0.97 | 1.00 | 0.94 | 0.94 | 0.94 |
Specificity | 0.98 | 0.97 | 0.98 | 0.97 | 0.94 | 1.00 | 0.91 | 1.00 |
Precision | 0.97 | 0.96 | 0.98 | 0.97 | 0.89 | 1.00 | 1.00 | 1.00 |
FPR (False Positive Rate) | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 | 0.00 | 0.99 | 0.00 |
FNR (False Negative Rate) | 0.99 | 0.99 | 0.99 | 0.99 | 0.00 | 0.99 | 0.99 | 0.99 |
