Deep learning for tibial plateau fracture detection and classification.

Journal: The Knee
Published Date: Mar 1, 2025

Abstract

BACKGROUND: Deep learning (DL) has been shown to be successful in interpreting radiographs and aiding in fracture detection and classification. However, no study has aimed to develop a computer vision model for tibia plateau fractures using the Schatzker classification. Therefore, this study aims to develop a deep learning model for (1) detection of tibial plateau fractures and (2) classification according to the Schatzker classification.

Authors

  • N van der Gaast
    Department of Orthopaedics & Trauma Surgery, Flinders Medical Centre and Flinders University, Adelaide, SA, Australia; Department of Trauma Surgery, Radboud University Medical Center, Radboud University Nijmegen, the Netherlands. Electronic address: Nynke.vandergaast@radboudumc.nl.
  • P Bagave
    Department of Engineering Systems and Services, Faculty of Technology Policy and Management, Delft University of Technology, Delft, the Netherlands.
  • N Assink
    Department of Orthopaedic and Trauma Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.
  • S Broos
    Department of Orthopaedics & Trauma Surgery, Flinders Medical Centre and Flinders University, Adelaide, SA, Australia.
  • R L Jaarsma
    Department of Orthopaedics & Trauma Surgery, Flinders Medical Centre and Flinders University, Adelaide, SA, Australia.
  • M J R Edwards
    Department of Trauma Surgery, Radboud University Medical Center, Radboud University Nijmegen, the Netherlands.
  • E Hermans
    Department of Trauma Surgery, Radboud University Medical Center, Radboud University Nijmegen, the Netherlands.
  • F F A Ijpma
  • A Y Ding
    Department of Engineering Systems and Services, Faculty of Technology Policy and Management, Delft University of Technology, Delft, the Netherlands.
  • J N Doornberg
  • J H F Oosterhoff
    Department of Engineering Systems and Services, Faculty of Technology Policy and Management, Delft University of Technology, Delft, the Netherlands; Department of Orthopaedic and Trauma Surgery, University Medical Center Groningen, University of Groningen, the Netherlands.

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