🏥 FundusAI - Advanced Retinal Analysis Platform
Multi-Disease Classification of Retinal Fundus Images with Explainable AI
Professional-grade AI system for comprehensive retinal fundus analysis and diagnosis
📋 Project Overview
This advanced AI system classifies retinal fundus images into four distinct categories using
state-of-the-art deep learning and explainable AI techniques. The platform is designed for
both clinical reference and educational purposes, providing transparent, interpretable diagnoses.
🎯 Objectives
• Easy Integration: Simple image upload and rapid prediction pipeline
• Explainable Results: Transparent AI with Grad-CAM heatmap visualization
• Professional Interface: Clean, intuitive design for clinical and educational use
• Educational Value: Gamified learning experience for medical training
• Explainable Results: Transparent AI with Grad-CAM heatmap visualization
• Professional Interface: Clean, intuitive design for clinical and educational use
• Educational Value: Gamified learning experience for medical training
📊 Disease Categories
👁️ Hypertensive Retinopathy
Vascular changes due to hypertension
Vascular changes due to hypertension
🔍 Myopia
Pathological changes from high myopia
Pathological changes from high myopia
✅ Normal
Healthy retinal fundus
Healthy retinal fundus
🧬 Retinitis Pigmentosa
Inherited retinal degeneration
Inherited retinal degeneration
🚀 Quick Start
1
Medical Diagnosis
Upload images for professional analysis
Upload images for professional analysis
2
Educational Game
Learn through interactive gameplay
Learn through interactive gameplay
3
View Results
Detailed reports with AI explanations
Detailed reports with AI explanations
📈 Dataset Information
• EDDFS Dataset (Xia et al., 2024)
• ODIR-5K Dataset (128 HR images)
• Mendeley Data (834 RP images)
• Total: 1,000+ processed images
• ODIR-5K Dataset (128 HR images)
• Mendeley Data (834 RP images)
• Total: 1,000+ processed images
⚠️ Medical Disclaimer
This platform is for research and educational purposes only. Not for clinical decision-making.
Always consult qualified healthcare professionals for medical decisions.