Fig 1.
Block diagram of the Mask R-CNN- GLCM.
Fig 2.
Figshare dataset.
Fig 3.
Tumor class distribution in Figshare dataset.
Fig 4.
Pre-processing images of brain tumor.
Fig 5.
Architecture of the Mask R-CNN.
Fig 6.
MLP Architecture diagram.
Table 1.
Comparison of models across metrics.
Fig 7.
Comparison of models across metrics.
Table 2.
Processing time analysis for proposed method with existing system.
Fig 8.
Processing time analysis for proposed method.
Fig 9.
Training validation loss and accuracy analysis.
Fig 10.
Ablation study of accuracy brain tumor identification methods.
Table 3.
The proposed method was compared to other methods.
Fig 11.
The proposed method was compared to other methods.