Diagnosis and detection of bone fracture in radiographic images using deep learning approaches.

Journal: Frontiers in medicine
Published Date: Jan 24, 2025

Abstract

INTRODUCTION: Bones are a fundamental component of human anatomy, enabling movement and support. Bone fractures are prevalent in the human body, and their accurate diagnosis is crucial in medical practice. In response to this challenge, researchers have turned to deep-learning (DL) algorithms. Recent advancements in sophisticated DL methodologies have helped overcome existing issues in fracture detection.

Authors

  • Theyazn Aldhyani
    Applied College, King Faisal University, Al-Ahsa, Saudi Arabia.
  • Zeyad A T Ahmed
    Department of Computer Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
  • Bayan M Alsharbi
    Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
  • Sultan Ahmad
    Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
  • Mosleh Hmoud Al-Adhaileh
    Deanship of E-Learning and Distance Education and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia.
  • Ahmed Hassan Kamal
    Department of Orthopedic and Trauma, College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia.
  • Mohammed Almaiah
    King Abdullah the II IT School, The University of Jordan, Amman, Jordan.
  • Jabeen Nazeer
    Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.

Keywords

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