Detecting hip fractures with radiologist-level performance using deep neural networks

17 Nov 2017William GaleLuke Oakden-RaynerGustavo CarneiroAndrew P. BradleyLyle J. Palmer

We developed an automated deep learning system to detect hip fractures from frontal pelvic x-rays, an important and common radiological task. Our system was trained on a decade of clinical x-rays (~53,000 studies) and can be applied to clinical data, automatically excluding inappropriate and technically unsatisfactory studies... (read more)

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