A novel lightweight deep convolutional neural network for early detection of oral cancer.

Journal: Oral diseases
Published Date: Mar 5, 2021

Abstract

OBJECTIVES: To develop a lightweight deep convolutional neural network (CNN) for binary classification of oral lesions into benign and malignant or potentially malignant using standard real-time clinical images.

Authors

  • Fahed Jubair
    Computer Engineering Department, School of Engineering, The University of Jordan, Amman, Jordan.
  • Omar Al-Karadsheh
    Department of Oral and Maxillofacial Surgery, Oral Medicine, and Periodontics, School of Dentistry, The University of Jordan, Amman, Jordan.
  • Dimitrios Malamos
    Oral Medicine Clinic, 1st Regional Health District of Attica, National Organization for the Provision of Health Services, Athens, Greece.
  • Samara Al Mahdi
    Department of Oral and Maxillofacial Surgery, Oral Medicine, and Periodontics, School of Dentistry, The University of Jordan, Amman, Jordan.
  • Yusser Saad
    Department of Oral and Maxillofacial Surgery, Oral Medicine, and Periodontics, School of Dentistry, The University of Jordan, Amman, Jordan.
  • Yazan Hassona
    Department of Oral and Maxillofacial Surgery, Oral Medicine, and Periodontics, School of Dentistry, The University of Jordan, Amman, Jordan.

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