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

Research output: Contribution to journal › Letter › Contributed › peer-review

Contributors

Achim Hekler - (Author)
Roman C. Maron - (Author)
Sarah Haggenmüller - (Author)
Max Schmitt - (Author)
Christoph Wies - (Author)
Jochen S. Utikal - (Author)
Friedegund Meier - , Department of Dermatology, National Center for Tumor Diseases Dresden, University Cancer Centre Dresden (Author)
Sarah Hobelsberger - , National Center for Tumor Diseases Dresden, Department of Dermatology, University Cancer Centre Dresden (Author)
Frank F. Gellrich - , Department of Dermatology, National Center for Tumor Diseases Dresden, University Cancer Centre Dresden (Author)
Mildred Sergon - , Department of Dermatology, National Center for Tumor Diseases Dresden, University Cancer Centre Dresden (Author)
Axel Hauschild - (Author)
Lars E. French - (Author)
Lucie Heinzerling - (Author)
Justin G. Schlager - (Author)
Kamran Ghoreschi - (Author)
Max Schlaak - (Author)
Franz J. Hilke - (Author)
Gabriela Poch - (Author)
Sören Korsing - (Author)
Carola Berking - (Author)
Markus V. Heppt - (Author)
Michael Erdmann - (Author)
Sebastian Haferkamp - (Author)
Konstantin Drexler - (Author)
Dirk Schadendorf - (Author)
Wiebke Sondermann - (Author)
Matthias Goebeler - (Author)
Bastian Schilling - (Author)
Jakob N. Kather - , Else Kröner Fresenius Center for Digital Health (Author)
Eva Krieghoff-Henning - (Author)
Titus J. Brinker - (Author)

Original language	English
Pages (from-to)	1028-1031
Number of pages	4
Journal	Journal of the American Academy of Dermatology
Volume	90
Issue number	5
Publication status	Published - May 2024
Peer-reviewed	Yes

uncertainty estimation, deep learning, diagnostic accuracy, dermatology, robustness, diagnosis, melanoma, artificial intelligence, dermoscopy