DeepVision: An Interpretable Multi-Task Framework for Comprehensive Bone Fracture Diagnosis Using ResNet, DenseNet, YOLOv8, and Grad-CAM++

Key Points

• DeepVision achieves comprehensive bone fracture diagnosis, improving clinical outcomes.
• The system integrates deep learning techniques like ResNet and DenseNet for enhanced diagnosis.
• Assessment utilized various algorithms, including YOLOv8 for object detection and Grad-CAM++ for visualization.
• This framework may transform clinical practices in orthopedic diagnostics by providing interpretable results.

Abstract