Skin Lesion Classification in Head and Neck Cancers Using Tissue Index Images Derived from Hyperspectral Imaging.

Journal: Cancers
Published Date: May 11, 2025

Abstract

BACKGROUND: Skin lesions associated with head and neck carcinomas present a diagnostic challenge. Conventional imaging methods, such as dermoscopy and RGB imaging, often face limitations in providing detailed information about skin lesions and accurately differentiating tumor tissue from healthy skin.

Authors

  • Doruntina Hoxha
    Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.
  • Aljoša Krt
    Izola General Hospital, 6310 Izola, Slovenia.
  • Jošt Stergar
    Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.
  • Tadej Tomanič
    University of Ljubljana, Faculty of Mathematics and Physics, Ljubljana, Slovenia.
  • Aleš Grošelj
    Department of Otorhinolaryngology and Cervicofacial Surgery, University Medical Center Ljubljana, 1000 Ljubljana, Slovenia.
  • Ivan Štajduhar
    Faculty of Engineering, University of Rijeka, Vukovarska 58, Rijeka, Croatia; Faculty of Engineering and Natural Sciences, Sabanci University, Üniversite Cd. No:27, Tuzla, Istanbul, Turkey. Electronic address: istajduh@riteh.hr.
  • Gregor Serša
    Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia.
  • Matija Milanič
    University of Ljubljana, Faculty of Mathematics and Physics, Ljubljana, Slovenia.

Keywords

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