Brain MRI Tumor Classification
Deep learning model for brain tumor classification from MRI scans using convolutional neural networks and transfer learning.
This project develops a deep learning pipeline for classifying brain tumors from MRI images. Using transfer learning with pre-trained architectures (ResNet, EfficientNet), the model distinguishes between glioma, meningioma, pituitary tumors, and healthy tissue. The pipeline includes data augmentation, multi-class classification, and Grad-CAM visualization for interpretability.