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Springe zu: Zeitschriftenartikel
Anzahl der Publikationen: 5
Zeitschriftenartikel
Hoehn, Julia; Hekler, Achim; Krieghoff-Henning, Eva; Kather, Jakob Nikolas; Utikal, Jochen Sven; Meier, Friedegund; Gellrich, Frank Friedrich; Hauschild, Axel; French, Lars; Schlager, Justin Gabriel; Ghoreschi, Kamran; Wilhelm, Tabea; Kutzner, Heinz; Heppt, Markus; Haferkamp, Sebastian; Sondermann, Wiebke; Schadendorf, Dirk; Schilling, Bastian; Maron, Roman C.; Schmitt, Max; Jutzi, Tanja; Froehling, Stefan; Lipka, Daniel B. und Brinker, Titus Josef
(2021):
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.
In: Journal of Medical Internet Research, Bd. 23, Nr. 7, e20708
Maron, Roman C.; Hekler, Achim; Krieghoff-Henning, Eva; Schmitt, Max; Schlager, Justin G.; Utikal, Jochen S. und Brinker, Titus J.
(2021):
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study.
In: Journal of Medical Internet Research, Bd. 23, Nr. 3, e21695
Hekler, Achim; Kather, Jakob N.; Krieghoff-Henning, Eva; Utikal, Jochen S.; Meier, Friedegund; Gellrich, Frank F.; Upmeier Zu Belzen, Julius; French, Lars; Schlager, Justin G.; Ghoreschi, Kamran; Wilhelm, Tabea; Kutzner, Heinz; Berking, Carola; Heppt, Markus V.; Haferkamp, Sebastian; Sondermann, Wiebke; Schadendorf, Dirk; Schilling, Bastian; Izar, Benjamin; Maron, Roman; Schmitt, Max; Froehling, Stefan; Lipka, Daniel B. und Brinker, Titus J.
(Mai 2020):
Effects of Label Noise on Deep Learning-Based Skin Cancer Classification.
In: Frontiers in Medicine, Bd. 7, 177: S. 1-7
[PDF, 615kB]
Maron, Roman C.; Utikal, Jochen S.; Hekler, Achim; Hauschild, Axel; Sattler, Elke; Sondermann, Wiebke; Haferkamp, Sebastian; Schilling, Bastian; Heppt, Markus V.; Jansen, Philipp; Reinholz, Markus; Franklin, Cindy; Schmitt, Laurenz; Hartmann, Daniela; Krieghoff-Henning, Eva; Schmitt, Max; Weichenthal, Michael; Kalle, Christof von; Frohling, Stefan und Brinker, Titus J.
(2020):
Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
In: Journal of Medical Internet Research, Bd. 22, Nr. 9, e18091
Hekler, Achim; Utikal, Jochen S.; Enk, Alexander H.; Solass, Wiebke; Schmitt, Max; Klode, Joachim; Schadendorf, Dirk; Sondermann, Wiebke; Franklin, Cindy; Bestvater, Felix; Flaig, Michael J.; Krahl, Dieter; Kalle, Christof von; Fröhling, Stefan und Brinker, Titus J.
(2019):
Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.
In: European Journal of Cancer, Bd. 118: S. 91-96