Ultrasound is a commonly used tool for diagnosing musculoskeletal disorders. However, interpreting musculoskeletal ultrasound images requires significant expertise due to the complexity of the anatomical structures involved. Developing such skills typically requires extensive training and experience under professional supervision. To streamline this learning process, we have developed an automated annotation system using deep learning neural networks. This system assists in the real-time identification of anatomical structures and has been successfully adapted for clinical use, improving the interpretation of musculoskeletal ultrasound images.
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