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Deep Learning

Melanomdiagnose mithilfe künstlicher Intelligenz

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hautnah dermatologie Aims and scope

Für den praktizierenden Dermatologen ebenso wie für seine Patienten ist die Früherkennung des malignen Melanoms von zentraler Bedeutung. Der Patient setzt dabei großes Vertrauen in den diagnostischen Blick des Hautarztes. Ein erstes, zur klinischen Anwendung zugelassenenes Deep-Learning-Netzwerk kann dabei wertvolle Unterstützung leisten.

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Authors and Affiliations

  1. Universitätshautklinik Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Deutschland

    Julia K. Winkler,  Christine Fink,  Ferdinand Toberer,  Alexander Enk &  Holger A. Hänßle

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  1. Julia K. Winkler
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  2. Christine Fink
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  3. Ferdinand Toberer
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  4. Alexander Enk
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  5. Holger A. Hänßle
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Corresponding author

Correspondence to Holger A. Hänßle.

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Winkler, J.K., Fink, C., Toberer, F. et al. Melanomdiagnose mithilfe künstlicher Intelligenz. hautnah dermatologie 35, 38–44 (2019). https://doi.org/10.1007/s15012-019-3040-6

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  • DOI: https://doi.org/10.1007/s15012-019-3040-6

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