🫁 ConvNeXt Ensemble Classifier with GradCAM
Medical AI for Chest X-ray Analysis
This tool uses an Ensemble of 3 ConvNeXt-Base models with CBAM attention and metadata fusion to analyze chest X-rays and identify 14 different thoracic pathologies.
Features:
- 🔍 Multi-label classification of 14 chest conditions
- 📊 Shows only confident predictions using optimized per-class thresholds
- 🌡️ Temperature scaling for improved calibration (T=1.5)
- 📋 Metadata fusion combining X-ray features with patient metadata
- 🎯 GradCAM visualization showing model attention regions
- 🏥 Ensemble AUC: 0.817 (better than single model 0.811)
- 🏥 Designed for research and educational purposes
⚠️ Important Medical Disclaimer: This tool is for research and educational purposes only. Always consult qualified healthcare professionals for medical decisions.
Supported Conditions: No Finding, Enlarged Cardiomediastinum, Cardiomegaly, Lung Opacity, Lung Lesion, Edema, Consolidation, Pneumonia, Atelectasis, Pneumothorax, Pleural Effusion, Pleural Other, Fracture, Support Devices
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