Table 7 Comparison of other studies with propose model.
From: Detection and classification of brain tumor using a hybrid learning model in CT scan images
Method | Modality | Test accuracy (%) |
|---|---|---|
Parallel deep CNN4 | MRI | 97.33 |
AlexNet24 | MRI | 98.15 |
AlexNet + GRU2 | MRI | 97 |
SVM + CNN25 | MRI | 98.49 |
SVM with Zernike Moment26 | MRI | 90.99 |
SVM + ELDP27 | MRI | 94.44 |
HOG Fusion with ResNet5028 | MRI | 88 |
Entropy + textural + Geometrical Features + SDNN 29 | MRI | 96 |
HOG + Median intensity + LBP KBest + ResNet50 + AlexNet + MLP (Proposed approach ) | CT scan | 94.82 |
