Robustness of a convolutional neural network trained on dermoscopic images and challenged with close-up images.
- DOI
- 10.1111/ddg.15900
- Published
- 2026 Apr
- Container
- Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1111/ddg.15900,
title = {Robustness of a convolutional neural network trained on dermoscopic images and challenged with close-up images.},
author = {Vollmer AS and Winkler JK and Kommoss KS and Stolz W and Rosenberger A and Enk A and Haenssle HA},
year = {2026},
journal = {Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG},
doi = {10.1111/ddg.15900},
url = {https://doi.org/10.1111/ddg.15900}
}RIS
TY - JOUR TI - Robustness of a convolutional neural network trained on dermoscopic images and challenged with close-up images. AU - Vollmer AS AU - Winkler JK AU - Kommoss KS AU - Stolz W AU - Rosenberger A AU - Enk A AU - Haenssle HA PY - 2026 JO - Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG DO - 10.1111/ddg.15900 UR - https://doi.org/10.1111/ddg.15900 ER -
APA
AS, V., JK, W., KS, K., W, S., A, R., A, E., & HA, H. (2026). Robustness of a convolutional neural network trained on dermoscopic images and challenged with close-up images.. Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG. https://doi.org/10.1111/ddg.15900
Source records
- pubmed · retrieved 2026-09-26T00:47:04.189Z
- europe-pmc · retrieved 2026-09-26T00:47:04.200Z