Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study.

Abstract

Authors

• J Hirvasniemi
  Center for Machine Vision and Signal Analysis, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland; Department of Orthopedics, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: jukka.hirvasniemi@oulu.fi.
• W P Gielis
  Department of Orthopedics, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: w.p.gielis@umcutrecht.nl.
• S Arbabi
  Department of Computer Engineering, Faculty of Engineering, University of Zabol, Zabol, Iran. Electronic address: gsarbabi@gmail.com.
• R Agricola
  Department of Orthopaedics, Erasmus University Medical Center, Rotterdam, the Netherlands. Electronic address: r.agricola@erasmusmc.nl.
• W E van Spil
  Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: w.e.vanspil@umcutrecht.nl.
• V Arbabi
  Department of Orthopedics, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Biomechanical Engineering, Delft University of Technology, Delft, the Netherlands; Department of Mechanical Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran. Electronic address: v.arbabi@umcutrecht.nl.
• H Weinans
  Department of Orthopedics, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Biomechanical Engineering, Delft University of Technology, Delft, the Netherlands. Electronic address: h.h.weinans@umcutrecht.nl.

Keywords

External Resources