Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images
European Journal of Cancer2019Vol. 118, pp. 91–96
Citations Over TimeTop 1% of 2019 papers
Achim Hekler, Jochen Utikal, Alexander Enk, Wiebke Solaß, Max Schmitt, Joachim Klode, Dirk Schadendorf, Wiebke Sondermann, Cindy Franklin, Felix Bestvater, Michael J. Flaig, Dieter Krahl, Christof von Kalle, Stefan Fröhling, Titus J. Brinker
Abstract
With limited image information available, a CNN was able to outperform 11 histopathologists in the classification of histopathological melanoma images and thus shows promise to assist human melanoma diagnoses.
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