Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures

Georg Zdolseka Department of Orthopedics and Department of Biomedical and Clinical Sciences, Faculty of Health Science, Linköping University, Linköping;;

Yupei Chenb Department of Biomedical Engineering and Health Systems, Royal Institute of Technology, Stockholm;

Hans-Peter Bögla Department of Orthopedics and Department of Biomedical and Clinical Sciences, Faculty of Health Science, Linköping University, Linköping;; ;c Department of Orthopedic Surgery, Gävle Hospital;

Chunliang Wanga Department of Orthopedics and Department of Biomedical and Clinical Sciences, Faculty of Health Science, Linköping University, Linköping;;

Mischa Woisetschlägerd Department of Radiology and Department of Medical and Health Sciences, Linköping; ;e Center for Medical Image Science and Visualization, Linköping University, Linköping;

Jörg Schilchera Department of Orthopedics and Department of Biomedical and Clinical Sciences, Faculty of Health Science, Linköping University, Linköping;; ;f Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, SwedenCorrespondence[email protected]

Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures

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