Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
May 2024
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| In: |
Journal of the American Academy of Dermatology
Year: 2024, Volume: 90, Issue: 5, Pages: 1028-1031 |
| ISSN: | 1097-6787 |
| DOI: | 10.1016/j.jaad.2023.11.065 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.jaad.2023.11.065 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0190962224000483 |
| Author Notes: | Achim Hekler, Roman C. Maron, Sarah Haggenmüller, Max Schmitt, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank F. Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob N. Kather, Eva Krieghoff-Henning, Titus J. Brinker |
| Item Description: | Online verfügbar: 8. Januar 2024, Artikelversion: 11. April 2024 Gesehen am 18.12.2024 |
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| Physical Description: | Online Resource |
| ISSN: | 1097-6787 |
| DOI: | 10.1016/j.jaad.2023.11.065 |