This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Imaging Informatics (193) Machine Learning (1465) Skin Cancer and Melanoma Prevention (112) Digital Photography and Imaging in Dermatology (32)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21695, first published .
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study

Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study

Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study

Authors of this article:

Roman C Maron1 Author Orcid Image ;   Achim Hekler1 Author Orcid Image ;   Eva Krieghoff-Henning1 Author Orcid Image ;   Max Schmitt1 Author Orcid Image ;   Justin G Schlager2 Author Orcid Image ;   Jochen S Utikal3, 4 Author Orcid Image ;   Titus J Brinker1 Author Orcid Image
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