Deep learning model shows promise for detecting and grading sesamoiditis in horse radiographs.

Journal: American journal of veterinary research
PMID: 37852296

Abstract

OBJECTIVE: The objective of this study was to develop a robust machine-learning approach for efficient detection and grading of sesamoiditis in horses using radiographs, specifically in data-limited conditions.

Authors

  • Li Guo
    Department of Dental Implantology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing, China.
  • Xinhui Yu
    Department of Electrical and Computer Engineering, University of British Columbia, British Columbia, Canada.
  • Anas Thair
    Department of Electrical and Computer Engineering, University of British Columbia, British Columbia, Canada.
  • Andrew Rideout
    Point to Point Research Development, British Columbia, Canada.
  • Andrew Collins
    Baker McVeigh and Clements, Newmarket, England.
  • Z Jane Wang
  • Michael Hore
    Hagyard Equine Medical Institute, Lexington, Kentucky.

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