Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors.

Journal: Current opinion in otolaryngology & head and neck surgery
Published Date: Apr 1, 2022

Abstract

PURPOSE OF REVIEW: Advances in computer technology and growing expectations from computer-aided systems have led to the evolution of artificial intelligence into subsets, such as deep learning and radiomics, and the use of these systems is revolutionizing modern radiological diagnosis. In this review, artificial intelligence applications developed with radiomics and deep learning methods in the differential diagnosis of parotid gland tumors (PGTs) will be overviewed.

Authors

  • Emrah Gündüz
    Department of Otorhinolaryngology-Head and Neck Surgery, Malatya Training Research Hospital, Malatya, Turkey.
  • Ömer Faruk Alçin
    Department of Electric and Electronics Engineering, Faculty of Engineering and Natural Sciences, Malatya Turgut Ozal University.
  • Ahmet Kizilay
    Department of Otorhinolaryngology Head and Neck Surgery, Inonu University Faculty of Medicine, Malatya, Turkey.
  • Cesare Piazza
    Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.

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