Advanced deep learning techniques for classifying dental conditions using panoramic X-ray images

Key Points

• The aim is to evaluate hybrid deep learning techniques for classifying dental conditions using panoramic X-ray images.
• Utilized hybrid CNN-based architecture for feature extraction
• Implemented Random Forest classification on manually annotated regions
• Compared results with standalone deep learning models
• Hybrid models demonstrated superior classification capability
• Identified misclassification patterns indicate a need for professional oversight
• Recommended further validation studies to ensure effectiveness