Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real‐Time Object Detection System Upon Medical Radiographs

Key Points

• The research aims to assess a deep learning model's efficacy in classifying osteoporosis and detecting compression fractures.
• Developed a deep learning model for image analysis
• Applied the model to medical radiographs
• Evaluated accuracy in classifying osteoporosis and detecting fractures
• Achieved an accuracy of nearly 80% for diagnosis
• Requested identification of possible compression fractures
• Promising results for screening from radiographic images