The role of AI classifiers in skin cancer images.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Published Date:

Abstract

BACKGROUND: The use of different imaging modalities to assist in skin cancer diagnosis is a common practice in clinical scenarios. Different features representative of the lesion under evaluation can be retrieved from image analysis and processing. However, the integration and understanding of these additional parameters can be a challenging task for physicians, so artificial intelligence (AI) methods can be implemented to assist in this process. This bibliographic research was performed with the goal of assessing the current applications of AI algorithms as an assistive tool in skin cancer diagnosis, based on information retrieved from different imaging modalities.

Authors

  • Carolina Magalhaes
    INEGI-LAETA, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal.
  • Joaquim Mendes
    INEGI-LAETA, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal.
  • Ricardo Vardasca
    INEGI-LAETA, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal.