Tumor Vision

Tumor Vision is a sophisticated medical imaging platform that uses deep learning to detect and analyze brain tumors from MRI and CT scans with high accuracy. This application provides healthcare professionals with an intuitive interface for medical scan analysis.

Key Features:

• Multi-scan Support: Analyze both MRI scans (98.86% accuracy) and CT scans (94% accuracy)
• Deep Learning Models: Custom-trained CNN models with state-of-the-art architecture
• Interactive UI: User-friendly interface with real-time analysis and results
• AI-powered Suggestions: Get AI-generated insights based on scan results
• PDF Report Generation: Create and download detailed patient reports
• Secure Authentication: Protect patient data with user accounts and Flask-Login

Technical Highlights:

• Built with Flask (Python) backend and Bootstrap 5 frontend for professional medical interface
• Implemented custom CNN architecture with multiple convolutional layers and dropout prevention
• Used TensorFlow and PyTorch for deep learning model training and inference
• Integrated SQLite database with SQLAlchemy ORM for secure data management
• Added comprehensive error handling and medical-grade security measures
• Optimized for 224x224 pixel medical image processing with high accuracy