A deep learning project for multi-class brain tumor classification from MRI images using Transfer Learning (EfficientNetB0) and explainable AI with Grad-CAM.
To improve interpretability, Grad-CAM (Gradient-weighted Class Activation Mapping) is implemented to highlight the regions of the MRI scan that influenced the model’s decision.
• Python
• Tensorflow
• NumPy
• Matplotlib
• scikit-learn
• streamlit
• Multi-Class Brain Tumor Classification
• Transfer Learning with EfficientNetB0
• Data Augmentation
• Interactive Web Application
• Explainable AI with Grad-CAM