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A transfer learning–based approach for automated bone fracture classification in X-ray imaging
0
Zitationen
7
Autoren
2026
Jahr
Abstract
Experimental results affirm that integrating deep learning models with attention mechanisms significantly improve diagnostic accuracy, rendering the model a valuable tool for clinical fracture detection. Future research will investigate dataset extension and conduct real-world validation to enhance its usability in medical imaging.
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