Brain Tumor Detection Using Deep Learning
CNN-based classification system for brain tumor detection from MRI scans with 94.87% accuracy.
More about this project
Developed an MRI-based Convolutional Neural Network (CNN) classification system using EfficientNet and other pretrained models, achieving 94.87% accuracy in brain tumor detection. Deployed a Streamlit interface for live inference, enhancing clinical decision-making utility for healthcare professionals.
University of Massachusetts Dartmouth, Spring 2025. Built with Python, TensorFlow, Streamlit, Deep Learning, CNN.


