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1 Ergebnisse
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Uncertainty-informed deep learning models enable high-confi..:
James M. Dolezal
;
Andrew Srisuwananukorn
;
Dmitry Karpeyev
...
https://doi.org/10.1038/s41467-022-34025-x. , 2022
Link:
https://doi.org/10.1038/s41467-022-34025-x
RT Journal T1
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:3782f0100a0e42dd916744ca0dcd64bc&Exemplar=1&LAN=DE A1 James M. Dolezal A1 Andrew Srisuwananukorn A1 Dmitry Karpeyev A1 Siddhi Ramesh A1 Sara Kochanny A1 Brittany Cody A1 Aaron S. Mansfield A1 Sagar Rakshit A1 Radhika Bansal A1 Melanie C. Bois A1 Aaron O. Bungum A1 Jefree J. Schulte A1 Everett E. Vokes A1 Marina Chiara Garassino A1 Aliya N. Husain A1 Alexander T. Pearson PB Nature Portfolio YR 2022 K1 Science K1 Q JF https://doi.org/10.1038/s41467-022-34025-x LK http://dx.doi.org/https://doi.org/10.1038/s41467-022-34025-x DO https://doi.org/10.1038/s41467-022-34025-x SF ELIB - SuUB Bremen
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