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., ...Daha Fazla

LANCET ONCOLOGY, cilt.20, sa.7, ss.938-947, 2019 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 7
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/s1470-2045(19)30333-x
  • Dergi Adı: LANCET ONCOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.938-947
  • Ankara Üniversitesi Adresli: Evet

Özet

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.