Deep Learning-Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

Journal: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
PMID:

Abstract

BACKGROUND: Artificial intelligence (AI)-based tools have shown promise in histopathology image analysis in improving the accuracy of oral squamous cell carcinoma (OSCC) detection with intent to reduce human error.

Authors

  • Zeynab Pirayesh
    Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Hossein Mohammad-Rahimi
    Division of Artificial Intelligence Imaging Research, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
  • Nikoo Ghasemi
    Faculty of Dentistry, Zanjan University of Medical Sciences, Zanjan, Iran.
  • Saeed-Reza Motamedian
    Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
  • Terme Sarrafan Sadeghi
    Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Hediye Koohi
    Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Rata Rokhshad
    Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany.
  • Shima Moradian Lotfi
    Dentofacial Deformities Research Center, Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Anahita Najafi
    School of Medicine, Tehran University of Medical Sciences, MD-MPH, Tehran, Iran.
  • Shahd A Alajaji
    Department of Oncology and Diagnostic Sciences, School of Dentistry, University of Maryland Baltimore, MD, USA; Division of Artificial Intelligence Research, University of Maryland School of Dentistry, Baltimore, MD, USA; Department of Oral Medicine and Diagnostic Sciences, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.
  • Zaid H Khoury
    Department of Oral Diagnostic Sciences and Research, Meharry Medical College School of Dentistry, Nashville, TN, USA.
  • Maryam Jessri
    Oral Health Centre of Western Australia, Perth, WA, Australia.
  • Ahmed S Sultan
    School of Dentistry, University of Maryland, Baltimore, MD, USA.