Building a Brain Tumor Detection Using Deep Learning | MRI Images Detection Using Computer Vision
Tumor X is a next-generation AI project designed for accurate brain tumor detection and analysis. Built with Python, TensorFlow, Streamlit, NumPy, and OpenCV, it integrates advanced deep learning models to support medical professionals in diagnostic imaging.
🧠 Core Highlights:
• Dual-model architecture — EfficientNetB3 for classification and U-Net for segmentation
• Achieved 95% accuracy on 7,000+ MRI brain scans
• Interactive Streamlit web app for real-time tumor visualization
• Automated PDF clinical report generation with segmentation overlays
• Reduces manual diagnostic reporting time by up to 40%
📆 Development Period: February 2025 – March 2025
🔗 Project Demo / GitHub: [Add your link here]
💡 Tumor X exemplifies how artificial intelligence can enhance clinical efficiency and reliability by merging precision, interpretability, and practical usability in medical imaging.
#Python #AI #DeepLearning #TensorFlow #Streamlit #OpenCV #MedicalAI #TumorDetection #MachineLearning #HealthcareAI #BrainTumorAwareness