Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images.

Journal: BMC musculoskeletal disorders
Published Date:

Abstract

OBJECTIVE: The aim of this study was to develop a hybrid diagnostic framework integrating radiomic and deep features for accurate and reproducible detection and classification of wrist fractures using X-ray images.

Authors

  • Mohamed J Saadh
    Faculty of Pharmacy, Middle East University, Amman, 11831, Jordan.
  • Qusay Mohammed Hussain
    College of Pharmacy, Alnoor University, Mosul, Iraq.
  • Rafid Jihad Albadr
    Ahl Al Bayt University, Kerbala, Iraq.
  • Hardik Doshi
    Marwadi University Research Center, Department of Computer Engineering, Faculty of Engineering & Technology Marwadi University, Rajkot, Gujarat, 360003, India.
  • M M Rekha
    Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to Be University), Bangalore, Karnataka, India.
  • Mayank Kundlas
    Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.
  • Amrita Pal
    Department of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
  • Jasur Rizaev
    Department of Public Health and Healthcare Management, Rector, Samarkand State Medical University, 18, Amir Temur Street, Samarkand, Uzbekistan.
  • Waam Mohammed Taher
    College of Nursing, National University of Science and Technology, Dhi Qar, Iraq.
  • Mariem Alwan
    Pharmacy College, Al-Farahidi University, Baghdad, Iraq.
  • Mahmod Jasem Jawad
    Department of Pharmacy, Al-Zahrawi University College, Karbala, Iraq.
  • Ali M Ali Al-Nuaimi
    Gilgamesh Ahliya University, Baghdad, Iraq.
  • Bagher Farhood
    Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran. bffarhood@gmail.com.