Automated determination of hip arthrosis on the Kellgren-Lawrence scale in pelvic digital radiographs scans using machine learning.

Journal: Computer methods and programs in biomedicine
PMID: 40245604

Abstract

BACKGROUND AND OBJECTIVE: Automated analysis of digital radiographs of the pelvis to determine the hip arthrosis state in concordance with the Kellgren-Lawrence scale could facilitate and standardize radiogram descriptions.

Authors

  • Karolina Nurzynska
    Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.
  • Marek Wodzinski
  • Adam Piórkowski
    Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Cracow, Poland.
  • Michał Strzelecki
    Institute of Electronics, Lodz University of Technology, 93-590 Lodz, Poland.
  • Rafał Obuchowicz
    Department of Diagnostic Imaging, Jagiellonian University Medical College, 19 Kopernika Street, 31-501 Cracow, Poland.
  • Paweł Kamiński
    Clinic of Locomotor Disorders, Andrzej Frycz Modrzewski Krakow University, ul. Gustawa Herlinga-Grudzińskiego 1, Krakow, 30-705, Poland; Małopolska Orthopedic and Rehabilitation Hospital, Modrzewiowa 22, Krakow, 30-224, Poland.

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