Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.

Journal: BMC cancer
Published Date:

Abstract

BACKGROUND: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretation. Recently, machine learning and deep learning techniques have shown promise in enhancing diagnostic precision by automating the analysis of dermoscopy images.

Authors

  • Hoda Naseri
    Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
  • Ali A Safaei
    Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran. aa.safaei@modares.ac.ir.