Brain Tumor Classification with Wavelet-Enhanced Transfer Learning

A deep learning system for MRI-based brain tumor classification using transfer learning with dual ResNet networks. The approach fuses spatial and frequency-domain features through wavelet enhancement, achieving high accuracy on public datasets.

The project explores how combining complementary representations improves robustness in medical image analysis — a step toward clinically reliable diagnostic support.