This study presents an explainable AI framework for identifying sharp injuries in medical images using transfer learning. By leveraging pretrained deep neural networks, the model enhances detection accuracy while providing interpretable insights into its predictions. The approach combines efficiency with transparency, making it suitable for clinical decision support systems.
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