Automatic detection and classification of peri-prosthetic femur fracture

Alzaid, A, Wignall, A, Dogramadzi, S et al. (2 more authors) (2022) Automatic detection and classification of peri-prosthetic femur fracture. International Journal of Computer Assisted Radiology and Surgery, 17 (4). pp. 649-660. ISSN 1861-6410

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Copyright, Publisher and Additional Information: © The Author(s) 2022. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0)
Keywords: Bone fracture; Computer aided diagnostics; Deep learning ·; Medical imaging; Surgical planning
Dates:
  • Accepted: 21 December 2021
  • Published (online): 14 February 2022
  • Published: April 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Orthopaedics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Feb 2022 13:33
Last Modified: 27 Jun 2022 09:20
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/s11548-021-02552-5
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