Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

AbstractBackground. Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN’s diagnostic performance to l

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Bibliographische Detailangaben
Hauptverfasser: Hänßle, Holger (VerfasserIn) , Müller-Christmann, Christine (VerfasserIn) , Schneiderbauer, Roland (VerfasserIn) , Toberer, Ferdinand (VerfasserIn) , Enk, Alexander (VerfasserIn) , Uhlmann, Lorenz (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 28 May 2018
In: Annals of oncology
Year: 2018, Jahrgang: 29, Heft: 8, Pages: 1836-1842
ISSN:1569-8041
DOI:10.1093/annonc/mdy166
Online-Zugang:Verlag, Volltext: https://doi.org/10.1093/annonc/mdy166
Verlag, Volltext: https://academic.oup.com/annonc/article/29/8/1836/5004443
Volltext
Verfasserangaben:H.A. Haenssle, C. Fink, R. Schneiderbauer, F. Toberer, T. Buhl, A. Blum, A. Kalloo, A. Ben Hadj Hassen, L. Thomas, A. Enk, & L. Uhlmann ; Reader study level-I and level-II Groups

MARC

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