Table 1 Analysis of classification accuracy based on different classification algorithms on BRATS 2019 dataset.
From: Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform
Classifiers | Classification accuracy (%) |
|---|---|
Proposed HCNN classifier (in this paper) | 99.7 |
ANFIS classifier | 97.2 |
SVM | 95.9 |
NN | 94.3 |
Adaboost classifier | 94.8 |
Fuzzy C Means classifier | 93.9 |
