Table 11 Comparison of the proposed model with existing studies
From: A hybrid deep CNN model for brain tumor image multi-classification
Author | Year | Datasets | Method | Classification of Accuracy (%) |
|---|---|---|---|---|
Ahmed Wasif Reza [12] | 2023 | Kaggle, Figshare | VGG-16 architecture | 96.70 |
Mahmoud Khaled Abd-Ellah [13] | 2018 | RIDER, REMBRANDT, and BraTS | ECOC-SVM | 97.98 |
Takowa Rahman [27] | 2023 | Kaggle, REMBRANDT | CNN + 6 pretrained models | 97.12 |
Anand Deshpande [17] | 2021 | RIDER and BraTS | Discrete cosine transform-based image fusion combined with CNN | 98.14 |
Proposed model | 2023 | Figshare, REMBRANDT, TCGA-LGG, TCIA | Hybrid CNN | 98.56 |