# 🧠 Brain Tumor Detection & Segmentation

A deep learning-based project for detecting and segmenting brain tumors from MRI scans using convolutional neural networks.

🔬 Features

• Brain tumor detection and pixel-wise segmentation
• Based on U-Net architecture for medical image segmentation
• Uses MRI scans for training and evaluation
• Visualizes results along with informing whether Brain Tumor is present or not

🛠️ Tech Stack

• Python
• TensorFlow / Keras
• NumPy, OpenCV, scikit-learn
• Matplotlib, Jupyter Notebook

📁 Dataset

• Public MRI datasets from kaggle(e.g., BraTS)