Enhancing diagnosis: ensemble deep-learning model for fracture detection using X-ray images.

Journal: Clinical radiology
Published Date: Aug 21, 2024

Abstract

AIM: Orthopedic trauma results in the injury of bone joints and tendons of the body. A radiologist reviews and monitors large numbers of radiographs daily, which can lead to the diagnostic error. Therefore, there is a need to automate the detection of bone fractures in X-ray images, particularly humerus bone fractures. In this paper, we have proposed an ensemble model that can detect the fracture in an x-ray image.

Authors

  • A Tahir
    Institute of Avionics & Aeronautics, Air University, Islamabad, Pakistan.
  • A Saadia
    Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan. Electronic address: ayesha.saadia@students.au.edu.pk.
  • K Khan
    Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan.
  • A Gul
    Faculty of Computing, Engineering and Built Environment (CEBE)Birmingham City University, Birmingham, UK.
  • A Qahmash
    King Khalid University, Abha, Saudi Arabia. Electronic address: a.qahmash@kku.edu.sa.
  • R N Akram
    Department of Computer Science, University of Aberdeen, Aberdeen AB24 3FX, UK.

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