Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.

Journal: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Published Date: Aug 16, 2021

Abstract

BACKGROUND: Oral cancer is a deadly disease among the most common malignant tumors worldwide, and it has become an increasingly important public health problem in developing and low-to-middle income countries. This study aims to use the convolutional neural network (CNN) deep learning algorithms to develop an automated classification and detection model for oral cancer screening.

Authors

  • Kritsasith Warin
    Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand.
  • Wasit Limprasert
    College of Interdisciplinary Studies, Thammasat University, Patum Thani, Thailand.
  • Siriwan Suebnukarn
    Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand.
  • Suthin Jinaporntham
    Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Khon Kaen University, Khon Kaen, Thailand.
  • Patcharapon Jantana
    StoreMesh, Thailand Science Park, Pathum Thani, Thailand.

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