NFR-EDL: Non-linear fuzzy rank-based ensemble deep learning for accurate diagnosis of oral and dental diseases using RGB color photography.

Journal: Computers in biology and medicine
Published Date: Jun 1, 2025

Abstract

BACKGROUND: Oral health plays a vital role in our daily lives, affecting essential activities like eating, speaking, and smiling. Poor oral health can lead to significant social, psychological, and physical consequences, which makes early and accurate diagnosis incredibly important. Recent advances in artificial intelligence (AI) are opening new doors in oral health care, offering faster, more accurate ways to identify dental issues and improve overall care.

Authors

  • Pouyan Razmjouei
    Department of Electrical & Computer Engineering, Valie-e-Asr University of Rafsanjan, Kerman, Iran.
  • Elaheh Moharamkhani
    IRO, Computer Science Department, University of Halabja, Halabja, Iraq.
  • Seyed Sasan Aryanezhad
    Department of Oral & Maxillofacial Radiology, School of Dentistry, Islamic Azad University of Isfahan (Khorasgan), Isfahan, Iran.
  • Mohammad Shokouhifar
    DTU AI and Data Science Hub (DAIDASH), Duy Tan University, Da Nang, 550000, Viet Nam.
  • Mehdi Hosseinzadeh
    School of Computer Science, Duy Tan University, Da Nang, 550000, Viet Nam; Jadara Research Center, Jadara University, Irbid 21110, Jordan. Electronic address: mehdihosseinzadeh@duytan.edu.vn.
  • Behrouz Zadmehr
    Amirkabir University of Technology, Tehran, Iran.

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