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Wagner, S. ; Matek, C. ; Shetab Boushehri, S. ; Boxberg, M.* ; Lamm, L. ; Sadafi, A. ; Waibel, D.J.E. ; Marr, C. ; Peng, T.

Make deep learning algorithms in computational pathology more reproducible and reusable.

Nat. Med., DOI: 10.1038/s41591-022-01905-0 (2022)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
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Publication type Article: Journal article
Document type Other: News Item
ISSN (print) / ISBN 1078-8956
e-ISSN 1546-170X
Journal Nature medicine
Publisher Nature Publishing Group
Publishing Place New York, NY
Reviewing status Peer reviewed
Institute(s) Helmholtz Artifical Intelligence Cooperation Unit (HAICU)
Institute of AI for Health (AIH)
Helmholtz Pioneer Campus (HPC)