Research2026
Brain Tumor Classification
Deep learning classifier achieving 97% accuracy across four MRI tumor categories.
PythonTensorFlowKerasJupyter
Overview
A CNN-based brain tumor classifier trained on a labeled MRI dataset. Classifies scans into four categories: No Tumor, Meningioma, Pituitary Tumor, and Glioma.
The model was trained using TensorFlow/Keras with data augmentation to handle the class imbalance in medical imaging datasets. Achieved 97% classification accuracy on the held-out test set.
97%
Test Accuracy
4-class classification
4
Classes
No Tumor, Meningioma, Pituitary, Glioma
Keras
Framework
TensorFlow backend