Artificial Intelligence and Deep Learning of Head and Neck Cancer.

Journal: Magnetic resonance imaging clinics of North America
Published Date: Feb 1, 2022

Abstract

Artificial intelligence (AI) algorithms, particularly deep learning, have developed to the point that they can be applied in image recognition tasks. The use of AI in medical imaging can guide radiologists to more accurate image interpretation and diagnosis in radiology. The software will provide data that we cannot extract from the images. The rapid development in computational capabilities supports the wide applications of AI in a range of cancers. Among those are its widespread applications in head and neck cancer.

Authors

  • Ahmed Abdel Khalek Abdel Razek
    Department of Diagnostic Radiology, Mansoura University, Elgomheryia Street, Mansoura 35512, Egypt. Electronic address: arazek@mans.edu.eg.
  • Reem Khaled
    Department of Diagnostic Radiology, Mansoura University, Elgomheryia Street, Mansoura 35512, Egypt.
  • Eman Helmy
    Department of Diagnostic Radiology, Mansoura University, Elgomheryia Street, Mansoura 35512, Egypt.
  • Ahmed Naglah
    BioImaging Laboratory, Department of Bioengineering, University of Louisville, J.B. Speed School of Engineering, Lutz Hall, 200 E Shipp Avenue, Louisville, KY 40208, USA.
  • Amro AbdelKhalek
    Internship at Mansoura University Hospital, Mansoura Faculty of Medicine, Elgomheryia Street, Mansoura 35512, Egypt.
  • Ayman El-Baz
    Bioengineering Department, The University of Louisville, Louisville, KY, USA.

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