Artificial intelligence-based automated preprocessing and classification of impacted maxillary canines in panoramic radiographs.

Journal: Dento maxillo facial radiology
PMID: 38374464

Abstract

OBJECTIVES: Automating the digital workflow for diagnosing impacted canines using panoramic radiographs (PRs) is challenging. This study explored feature extraction, automated cropping, and classification of impacted and nonimpacted canines as a first step.

Authors

  • Ali Abdulkreem
    Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, 505055, United Arab Emirates.
  • Tanmoy Bhattacharjee
    Oudari Consultancy, West Bengal, 712246, India.
  • Hessa Alzaabi
    Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, 505055, United Arab Emirates.
  • Kawther Alali
    Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, 505055, United Arab Emirates.
  • Angela Gonzalez
    Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, 505055, United Arab Emirates.
  • Jahanzeb Chaudhry
    Department of Oral Diagnostics and Surgical Sciences, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, 505055, United Arab Emirates.
  • Sabarinath Prasad
    Department of Orthodontics, Hamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, 505055, United Arab Emirates.

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