Detection and classification of femoral neck fractures from plain pelvic X-rays using deep learning and machine learning methods

Successful results were obtained using deep learning and machine learning methods for the detection and clas-sification of femoral neck fractures. The model can be further improved through multi-center studies. The proposed model may be especially useful for physicians working in emergency departments and for those not having sufficient experience in evaluating plain pelvic radiographs.