Deep Learning for Clinical Image Analyses in Oral Squamous Cell Carcinoma: A Review.

Journal: JAMA otolaryngology-- head & neck surgery
Published Date: Oct 1, 2021

Abstract

IMPORTANCE: Oral squamous cell carcinoma (SCC) is a lethal malignant neoplasm with a high rate of tumor metastasis and recurrence. Accurate diagnosis, prognosis prediction, and metastasis detection can improve patient outcomes. Deep learning for clinical image analysis can be used for diagnosis and prognosis in cancers, including oral SCC; its use in these areas can improve patient care and outcome.

Authors

  • Chui Shan Chu
    Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
  • Nikki P Lee
    Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Joshua W K Ho
    Victor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia, St Vincent's Clinical School, University of New South Wales Australia, Darlinghurst, NSW 2010, Australia.
  • Siu-Wai Choi
    Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: htswchoi@hku.hk.
  • Peter J Thomson
    Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.

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