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1 Ergebnisse
1
Unsupervised Anomaly Detection in the Wild:
, In:
Informatik aktuell; Bildverarbeitung für die Medizin 2022
,
Zimmerer, David
;
Paech, Daniel
;
Lüth, Carsten
... - p. 26-31 , 2022
Link:
https://doi.org/10.1007/978-3-658-36932-3_6
RT T1 <cTitle>Informatik aktuell; Bildverarbeitung für die Medizin 2022</cTitle>: T1 <Title>Unsupervised Anomaly Detection in the Wild</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-658-36932-3_6&Exemplar=1&LAN=DE A1 Zimmerer, David A1 Paech, Daniel A1 Lüth, Carsten A1 Petersen, Jens A1 Köhler, Gregor A1 Maier-Hein, Klaus PB Springer Fachmedien Wiesbaden YR 2022 SP 26 OP 31 LK http://dx.doi.org/https://doi.org/10.1007/978-3-658-36932-3_6 DO https://doi.org/10.1007/978-3-658-36932-3_6 SF ELIB - SuUB Bremen
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