A deep learning-based model for significantly enhancing diagnostic accuracy and efficiency in novice sonographers: development and validation of a YOLOv13-powered real-time abdominal ultrasound anomaly detection system
1Department of Ultrasonography, Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing
2Department of Digital Medicine, College of Biomedical Engineering and Imaging Medicine, Army Medical University (Third Military Medical University), Chongqing, China
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