Melanoma diagnosis using deep learning techniques on dermatoscopic images.

Journal: BMC medical imaging
Published Date:

Abstract

BACKGROUND: Melanoma has become more widespread over the past 30 years and early detection is a major factor in reducing mortality rates associated with this type of skin cancer. Therefore, having access to an automatic, reliable system that is able to detect the presence of melanoma via a dermatoscopic image of lesions and/or skin pigmentation can be a very useful tool in the area of medical diagnosis.

Authors

  • Mario Fernando Jojoa Acosta
    eVida Research Laboratory, University of Deusto, Avda. Universidades 24, 48007, Bilbao, Spain.
  • Liesle Yail Caballero Tovar
    eVida Research Laboratory, University of Deusto, Avda. Universidades 24, 48007, Bilbao, Spain. lieslec@uninorte.edu.co.
  • Maria Begonya Garcia-Zapirain
    eVida Research Laboratory, University of Deusto, Avda. Universidades 24, 48007, Bilbao, Spain.
  • Winston Spencer Percybrooks
    Department of Electrical and Electronics Engineering, Universidad del Norte, Km.5 Vía Puerto Colombia, Barranquilla, Colombia.