与18位国际专家病理学家相比，人工智能对组织学黑色素瘤识别的诊断性能。 - Suppr

Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists.

作者信息

Brinker Titus J, Schmitt Max, Krieghoff-Henning Eva I, Barnhill Raymond, Beltraminelli Helmut, Braun Stephan A, Carr Richard, Fernandez-Figueras Maria-Teresa, Ferrara Gerardo, Fraitag Sylvie, Gianotti Raffaele, Llamas-Velasco Mar, Müller Cornelia S L, Perasole Antonio, Requena Luis, Sangueza Omar P, Santonja Carlos, Starz Hans, Vale Esmeralda, Weyers Wolfgang, Hekler Achim, Kather Jakob N, Fröhling Stefan, Krahl Dieter, Holland-Letz Tim, Utikal Jochen S, Saggini Andrea, Kutzner Heinz

机构信息

Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

J Am Acad Dermatol. 2022 Mar;86(3):640-642. doi: 10.1016/j.jaad.2021.02.009. Epub 2021 Feb 11.

DOI:10.1016/j.jaad.2021.02.009

PMID:33581189

Abstract

摘要

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Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists.与18位国际专家病理学家相比，人工智能对组织学黑色素瘤识别的诊断性能。

J Am Acad Dermatol. 2022 Mar;86(3):640-642. doi: 10.1016/j.jaad.2021.02.009. Epub 2021 Feb 11.

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Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists.

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