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Using Multiple Real-World Dermoscopic Photographs of One Lesion Improves Melanoma Classification Via Deep Learning.

Achim Hekler,Roman C. Maron,Sarah Haggenmueller,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,Soeren Korsing,Carola Berking,Markus Heppt,Michael Erdmann,Sebastian Haferkamp,Konstantin Drexler,Dirk Schadendorf,Wiebke Sondermann,Matthias Goebeler,Bastian Schilling,Jakob N. Kather,Eva Krieghoff-Henning,Titus J. Brinker

Journal of the American Academy of Dermatology（2024）

Cited 0|Views38
Key words
artificial intelligence,deep learning,dermatology,dermoscopy,diagnosis,diagnostic accuracy,melanoma,robustness,uncertainty estimation
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