VEILO

This repository contains a full-stack AI application for chest X-ray analysis:

• React frontend in frontend/
• Flask + TensorFlow backend in backend/
• Dataset layout in dataset/

✨ Features

AI-Powered Analysis: Advanced computer vision algorithms detect suspicious pulmonary nodules and masses

Visual Annotations: Precise location detection with visual markers, arrows, and labels

Multi-Method Detection: Combines circle detection and contour analysis for comprehensive coverage

Professional Reporting: Generate detailed medical reports with findings and recommendations

HIPAA Compliant: Secure handling of medical imaging data

Real-time Processing: Results in seconds with visual progress indicators

Interactive UI: Modern, responsive interface designed for medical professionals

🏗️ System Architecture

Frontend (Client-Side) Framework: React 18+ with Hooks

Styling: Tailwind CSS with custom animations

Icons: Lucide React icon library

HTTP Client: Native Fetch API with timeout support

State Management: React useState and useEffect hooks

🎯 How It Works

Image Upload: Users upload chest X-ray or CT scan images

Preprocessing: Images are enhanced using CLAHE and bilateral filtering

Lung Segmentation: AI creates a mask to focus analysis on lung tissue

Multi-Method Detection:

Circle detection for nodular structures

Contour analysis for irregular masses

Confidence Scoring: Each detection receives a confidence rating

Visual Annotation: Detections are marked with arrows and labels

Report Generation: Comprehensive findings and recommendations

🏥 Medical Integration

Detection Types Small Nodules/Opacities: < 8mm diameter

Pulmonary Nodules: 8-15mm diameter

Large Pulmonary Nodules: > 15mm diameter

Irregular Masses: Non-circular suspicious areas

Risk Assessment Low Risk: Routine monitoring recommended

Medium Risk: Specialist consultation advised

High Risk: Immediate medical attention required

📊 Performance Metrics

Accuracy: 91.5-94.2% based on validation testing

Processing Time: 2.1-3.8 seconds per image

Detection Sensitivity: Enhanced algorithm detects smaller nodules

Model Version: LungNet-v5.0-Enhanced

⚠️ Medical Disclaimer This AI system is designed to assist healthcare professionals and is not intended for self-diagnosis. Always consult with qualified medical practitioners for proper diagnosis and treatment. Results should be interpreted by licensed radiologists in conjunction with clinical findings and patient history.

🔒 Security & Compliance HIPAA-compliant data handling

Secure image transmission

No persistent storage of patient data

All processing occurs on-premises

🛠️ Development Adding New Detection Algorithms Extend the ImprovedCancerDetectionModel class

Implement new detection methods

Add to the multi-method analysis pipeline

Update confidence scoring algorithm

Customizing Reports Modify the generateReportHTML() function to include additional medical fields or formatting.

📝 License This project is licensed under the MIT License - see the LICENSE file for details.

🤝 Contributing We welcome contributions from the medical and technical communities. Please read our contributing guidelines before submitting pull requests.