Brain Tumor Classification CNN

This project implements a Convolutional Neural Network (CNN) to classify brain tumors from MRI scans into four categories:

Glioma

Meningioma

Pituitary Tumor

No Tumor

The model is trained on a curated dataset of MRI images, achieving high accuracy in detecting and classifying tumors, which can assist in early medical diagnosis.

Key Features

Deep Learning Model – Custom CNN architecture optimized for medical image classification.

Data Preprocessing – Image resizing, normalization, and augmentation to enhance model robustness.

Performance Metrics – Evaluated using accuracy, precision, recall, and confusion matrix.

User-Friendly Interface (Optional) – Can be integrated into a web/mobile app for real-time predictions.

Technologies Used

Python

TensorFlow/Keras

OpenCV (for image processing)

Pandas/NumPy (data handling)

Matplotlib/Seaborn (visualization)