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Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists.
Brinker TJ, Schmitt M, Krieghoff-Henning EI, Barnhill R, Beltraminelli H, Braun SA, Carr R, Fernandez-Figueras MT, Ferrara G, Fraitag S, Gianotti R, Llamas-Velasco M, Müller CSL, Perasole A, Requena L, Sangueza OP, Santonja C, Starz H, Vale E, Weyers W, Hekler A, Kather JN, Fröhling S, Krahl D, Holland-Letz T, Utikal JS, Saggini A, Kutzner H. Brinker TJ, et al. J Am Acad Dermatol. 2022 Mar;86(3):640-642. doi: 10.1016/j.jaad.2021.02.009. Epub 2021 Feb 11. J Am Acad Dermatol. 2022. PMID: 33581189 Free article. No abstract available.
A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
Brinker TJ, Hekler A, Enk AH, Klode J, Hauschild A, Berking C, Schilling B, Haferkamp S, Schadendorf D, Fröhling S, Utikal JS, von Kalle C; Collaborators. Brinker TJ, et al. Eur J Cancer. 2019 Apr;111:148-154. doi: 10.1016/j.ejca.2019.02.005. Epub 2019 Mar 8. Eur J Cancer. 2019. PMID: 30852421 Free article.
Deep neural networks are superior to dermatologists in melanoma image classification.
Brinker TJ, Hekler A, Enk AH, Berking C, Haferkamp S, Hauschild A, Weichenthal M, Klode J, Schadendorf D, Holland-Letz T, von Kalle C, Fröhling S, Schilling B, Utikal JS. Brinker TJ, et al. Eur J Cancer. 2019 Sep;119:11-17. doi: 10.1016/j.ejca.2019.05.023. Epub 2019 Aug 8. Eur J Cancer. 2019. PMID: 31401469 Free article.
120 results