Deep learning for early diagnosis of oral cancer via smartphone and DSLR image analysis: a systematic review.

Journal: Expert review of medical devices
Published Date: Nov 28, 2024

Abstract

INTRODUCTION: Diagnosing oral cancer is crucial in healthcare, with technological advancements enhancing early detection and outcomes. This review examines the impact of handheld AI-based tools, focusing on Convolutional Neural Networks (CNNs) and their advanced architectures in oral cancer diagnosis.

Authors

  • Tapabrat Thakuria
    Mathematical and Computational Sciences Division, Institute of Advanced Study in Science and Technology, Guwahati, India.
  • Taibur Rahman
    Mathematical and Computational Sciences Division, Institute of Advanced Study in Science and Technology, Guwahati, India.
  • Deva Raj Mahanta
    Mathematical and Computational Sciences Division, Institute of Advanced Study in Science and Technology, Guwahati, India.
  • Sanjib Kumar Khataniar
    Regional Dental College, Guwahati, India.
  • Rahul Dev Goswami
    Regional Dental College, Guwahati, India.
  • Tashnin Rahman
    Department of Head & Neck Oncology, Dr. B Borooah Cancer Institute, Guwahati, India.
  • Lipi B Mahanta
    Central Computational and Numerical Sciences Division, Institute of Advanced Study in Science and Technology, Paschim Boragaon, Guwahati 781035, Assam, India. Electronic address: lbmahanta@iasst.gov.in.

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