? Brain Tumor Detection & Segmentation
A comprehensive deep learning solution for brain tumor detection and segmentation using ResNet-18 and U-Net architectures with an interactive web deployment interface.
Project Overview
This project provides an end-to-end medical imaging solution that combines brain tumor classification and precise tumor segmentation using state-of-the-art deep learning models. The system achieves 92.16% accuracy in tumor detection using ResNet-18 and delivers exceptional 99.63% accuracy in tumor segmentation using U-Net architecture, all deployed through an intuitive web interface.