Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study-Reference-Cited by-同舟云学术

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

Published:2019-07 Issue:7 Volume:20 Page:938-947
ISSN:1470-2045
Container-title:The Lancet Oncology
language:en
Short-container-title:The Lancet Oncology

Author:

Tschandl Philipp,Codella Noel,Akay Bengü Nisa,Argenziano Giuseppe,Braun Ralph P,Cabo Horacio,Gutman David,Halpern Allan,Helba Brian,Hofmann-Wellenhof Rainer,Lallas Aimilios,Lapins Jan,Longo Caterina,Malvehy Josep,Marchetti Michael A,Marghoob Ashfaq,Menzies Scott,Oakley Amanda,Paoli John,Puig Susana,Rinner Christoph,Rosendahl Cliff,Scope Alon,Sinz Christoph,Soyer H Peter,Thomas Luc,Zalaudek Iris,Kittler Harald

Funder

National Institutes of Health support grant to Memorial Sloan Kettering Cancer Center

Publisher

Elsevier BV

Subject

Oncology

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