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Brain Tumor Classification on MRI Brain Tumor Dataset
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99.3
Accuracy
CNN–ELM Hybrid with SHAP Explainability
84.428
88.289
92.15
96.011
Jun 10, 2025
Jul 10, 2025
Aug 9, 2025
Sep 8, 2025
Oct 8, 2025
Nov 7, 2025
Dec 8, 2025
Accuracy
Updated 25d ago
Evaluation Results
Method
Method
Links
Accuracy
CNN–ELM Hybrid with SHAP Explainability
Efficiency=High, Autho...
2025.12
99.3
SE-Lightweight CNN
Efficiency=Yes, Author...
2025.12
99.22
Ensemble Hybrid CNN
Efficiency=Moderate, A...
2025.12
99.2
Hybrid CNN + Wavelet Features
Efficiency=Moderate, A...
2025.12
99.16
DeepTumorNet (GoogLeNet variant)
Efficiency=Moderate, A...
2025.12
99.12
MobileNet (transfer learning)
Explainability=None
2025.06
99
Quantized Lightweight CNN
Efficiency=Yes, Author...
2025.12
98.95
VGG19 + Grad-CAM
Explainability=Grad-CAM
2025.06
98
ConvAttenMixer
Explainability=None
2025.06
97
Enhancement + custom CNN
Explainability=None
2025.06
97
Pretrained InceptionV3
Explainability=None
2025.06
97
AlexNet + KNN
Explainability=None
2025.06
97
Revised CNN
Explainability=None
2025.06
96
CNN features + KNN
Explainability=None
2025.06
95
Shallow CNN (7 layers)
Explainability=None
2025.06
94
Deeper CNN (24 layers)
Explainability=None
2025.06
94
Dual-input CNN (LIME/SHAP)
Explainability=LIME, SHAP
2025.06
85
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