Brain Tumor Classification on Kaggle Brain Tumor

99.85Accuracy

KNN, SVM, ResNet50, Xception, CNN-MRI, DenseNet121, ResNet101 (Proposed Method)

Updated 18d ago

Evaluation Results

Method	Links
KNN, SVM, ResNet50, Xception, CNN-MRI, DenseNet121, ResNet101 (Proposed Method) 2026.03		99.85
GoogleNet, ShuffleNet, NasNet-Mobile, LDA, SVM, KNN (Ali et al.) 2026.03		98.4
CNN (Rasheed et al. [5]) 2026.03		98.33
SVM, Random Forest, eXtreme Gradient Boosting (Roy et al.) 2026.03		98.15
EfficientNet (Ramakrishna et al.) 2026.03		98
CNN and SVM (Bansal et al.) 2026.03		98
CNN (Rasheed et al. [4]) 2026.03		97.85
EfficientNet (Ishaq et al.) 2026.03		97.4
ResNet50, InceptionV3, InceptionResNetV2, Xception, MobileNetV2, EfficientNetB0 (Guzman et al.) 2026.03		97.12
CNN (Asiri et al.) 2026.03		94.58