Deep learning approach to femoral AVN detection in digital radiography: differentiating patients and pre-collapse stages.

Journal: BMC musculoskeletal disorders
PMID: 39010001

Abstract

OBJECTIVE: This study aimed to evaluate a new deep-learning model for diagnosing avascular necrosis of the femoral head (AVNFH) by analyzing pelvic anteroposterior digital radiography.

Authors

  • Nima Rakhshankhah
    Department of Radiology and Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Mahdi Abbaszadeh
    Department of Orthopedic Surgery, Faculty of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Atefeh Kazemi
    Department of Radiology and Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Soroush Soltan Rezaei
    Student Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Saeid Roozpeykar
    Department of Radiology and Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. Roozbeh.s.62@gmail.com.
  • Masoud Arabfard
    Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran.

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