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机译:自主膝关节镜下基于股骨软骨边界检测的超声图像质量评估深度学习
Science and Engineering Faculty, School of Electrical Engineering, Computer Science, Queensland University of Technology, Brisbane, QLD, Australia;
Science and Engineering Faculty, School of Chemistry, Physics, and Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia;
School of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaAustralian Centre of Visual Technologies, The University of Adelaide, Adelaide, SA, AustraliaFaculty of Electrical Engineering, Eindhoven University of Technology, Eindhoven, AZ, The NetherlandsDepartment of Orthopaedic Surgery, Faculty of Medicine, Graduate School of Medicine, Hokkaido University, Sapporo, JapanDepartment of Orthopaedic Surgery, Hyogo College of Medicine, Nishinomiya, Japan;
Surgery; Two dimensional displays; Imaging; Probes; Knee; Legged locomotion; Cartilage detection; deep learning (DL); knee arthroscopy; quality assessment; ultrasound (US) imaging;