Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept.

Journal: Clinical radiology
Published Date:

Abstract

AIM: To investigate the feasibility of applying a deep convolutional neural network (CNN) for detection/localisation of acute proximal femoral fractures (APFFs) on hip radiographs.

Authors

  • J S Yu
    Chemical and Biological Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
  • S M Yu
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • B S Erdal
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • M Demirer
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • V Gupta
    Division of Animal Reproduction, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, India.
  • M Bigelow
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • A Salvador
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • T Rink
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • S S Lenobel
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • L M Prevedello
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.
  • R D White
    Department of Radiology, The Ohio State University College of Medicine, 452 Doan Tower, 395 West 12th Avenue, Columbus, OH 43210, USA.