Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta-Analysis.

Journal: Oral diseases
Published Date: Nov 3, 2024

Abstract

OBJECTIVE: Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classification of oral lesions. This research, by conducting a scoping review and meta-analysis, aims to provide an overview of the progress and achievements in the field of automated detection of oral lesions using DL.

Authors

  • Olga Di Fede
    Department Di.Chir.On.S, University of Palermo, Palermo, Italy; Unit of Oral Medicine and Dentistry for fragile patients, Department of Rehabilitation, fragility, and continuity of care University Hospital Palermo, Palermo, Italy.
  • Gaetano La Mantia
    Department Di.Chir.On.S, University of Palermo, Palermo, Italy; Unit of Oral Medicine and Dentistry for fragile patients, Department of Rehabilitation, fragility, and continuity of care University Hospital Palermo, Palermo, Italy; Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
  • Marco Parola
    Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino 1, Pisa, 56122, Italy. Electronic address: marco.parola@ing.unipi.it.
  • Laura Maniscalco
    Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy.
  • Domenica Matranga
    Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (ProMISE), University of Palermo, Palermo, Italy.
  • Pietro Tozzo
    Unit of Stomatology, Ospedali Riuniti "Villa Sofia-Cervello" of Palermo, Palermo, Italy.
  • Giuseppina Campisi
    Department Di.Chir.On.S, University of Palermo, Palermo, Italy.
  • Mario G C A Cimino
    Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino, 1, Pisa, 56126, Italy; Bioengineering & Robotics Research Center E. Piaggio, University of Pisa, Largo Lucio Lazzarino, 1, Pisa, 56126, Italy.

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