Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Tschandl P., Codella N., Akay B. N., Argenziano G., Braun R. P., Cabo H., ...More

LANCET ONCOLOGY, vol.20, no.7, pp.938-947, 2019 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 20 Issue: 7
  • Publication Date: 2019
  • Doi Number: 10.1016/s1470-2045(19)30333-x
  • Journal Name: LANCET ONCOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.938-947
  • Ankara University Affiliated: Yes

Abstract

Background Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the diagnostic accuracy of state-of-the-art machine-learning algorithms with human readers for all clinically relevant types of benign and malignant pigmented skin lesions.