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Abstract: Self-supervised Pre-training for Dealing with Sma..:
, In:
Bildverarbeitung für die Medizin 2024; Informatik aktuell
,
Wolf, Daniel
;
Payer, Tristan
;
Lisson, Catharina S.
... - p. 157-157 , 2024
Link:
https://doi.org/10.1007/978-3-658-44037-4_46
RT T1 <cTitle>Bildverarbeitung für die Medizin 2024; Informatik aktuell</cTitle>: T1 <Title>Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging: Evaluation of Contrastive and Masked Autoencoder Methods</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-658-44037-4_46&Exemplar=1&LAN=DE A1 Wolf, Daniel A1 Payer, Tristan A1 Lisson, Catharina S. A1 Lisson, Christoph G. A1 Beer, Meinrad A1 Götz, Michael A1 Ropinski, Timo PB Springer Fachmedien Wiesbaden YR 2024 SP 157 OP 157 LK http://dx.doi.org/https://doi.org/10.1007/978-3-658-44037-4_46 DO https://doi.org/10.1007/978-3-658-44037-4_46 SF ELIB - SuUB Bremen
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