Artificial Intelligence for Skin Cancer Detection: Scoping Review.

Journal: Journal of medical Internet research
Published Date: Nov 24, 2021

Abstract

BACKGROUND: Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning-based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.

Authors

  • Abdulrahman Takiddin
    Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States.
  • Jens Schneider
    Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
  • Yin Yang
    Liver Surgery and NHC Key Lab of Transplant Engineering and Immunology, Regenerative Medical Research Center, Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Alaa Abd-Alrazaq
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Mowafa Househ
    Faculty College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1.

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