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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. Among authors: utikal js. 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.
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.
Brinker TJ, Hekler A, Hauschild A, Berking C, Schilling B, Enk AH, Haferkamp S, Karoglan A, von Kalle C, Weichenthal M, Sattler E, Schadendorf D, Gaiser MR, Klode J, Utikal JS. Brinker TJ, et al. Among authors: utikal js. Eur J Cancer. 2019 Apr;111:30-37. doi: 10.1016/j.ejca.2018.12.016. Epub 2019 Feb 22. Eur J Cancer. 2019. PMID: 30802784 Free article.
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. Among authors: utikal js. 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.
351 results