Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning

Hekler A, Maron RC, Haggenmüller S, Schmitt M, Wies C, Utikal JS, Meier F, Hobelsberger S, Gellrich FF, Sergon M, Hauschild A, French LE, Heinzerling L, Schlager JG, Ghoreschi K, Schlaak M, Hilke FJ, Poch G, Korsing S, Berking C, Heppt M, Erdmann M, Haferkamp S, Drexler K, Schadendorf D, Sondermann W, Goebeler M, Schilling B, Kather JN, Krieghoff-Henning E, Brinker TJ (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Journal of the American Academy of Dermatology Elsevier

DOI: 10.1016/j.jaad.2023.11.065

Authors with CRIS profile

Lucie Heinzerling Department of Dermatology Carola Berking Lehrstuhl für Haut- und Geschlechtskrankheiten Markus Heppt Department of Dermatology

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) DE Germany (DE) Universitätsklinikum Mannheim DE Germany (DE) Nationales Centrum für Tumorerkrankungen (NCT) Heidelberg DE Germany (DE) Klinikum der Universität München DE Germany (DE) Universitätsklinikum Schleswig-Holstein (UKSH) DE Germany (DE) Universitätsklinikum Essen DE Germany (DE) Universitätsklinikum Würzburg DE Germany (DE) Technische Universität Dresden DE Germany (DE) Charité - Universitätsmedizin Berlin DE Germany (DE) Universitätsklinikum Regensburg DE Germany (DE)

How to cite

APA:

Hekler, A., Maron, R.C., Haggenmüller, S., Schmitt, M., Wies, C., Utikal, J.S.,... Brinker, T.J. (2024). Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning. Journal of the American Academy of Dermatology. https://doi.org/10.1016/j.jaad.2023.11.065

MLA:

Hekler, Achim, et al. "Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning." Journal of the American Academy of Dermatology (2024).

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