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Abstract: Deep-learning on Lossily Compressed Pathology Ima..:
, In:
Informatik aktuell; Bildverarbeitung für die Medizin 2023
,
Fischer, Maximilian
;
Neher, Peter
;
Götz, Michael
... - p. 245-245 , 2023
Link:
https://doi.org/10.1007/978-3-658-41657-7_53
RT T1 <cTitle>Informatik aktuell; Bildverarbeitung für die Medizin 2023</cTitle>: T1 <Title>Abstract: Deep-learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-658-41657-7_53&Exemplar=1&LAN=DE A1 Fischer, Maximilian A1 Neher, Peter A1 Götz, Michael A1 Xiao, Shuhan A1 Almeida, Silvia Dias A1 Schüffler, Peter A1 Muckenhuber, Alexander A1 Braren, Rickmer A1 Kleesiek, Jens A1 Nolden, Marco A1 Maier-Hein, Klaus PB Springer Fachmedien Wiesbaden YR 2023 SP 245 OP 245 LK http://dx.doi.org/https://doi.org/10.1007/978-3-658-41657-7_53 DO https://doi.org/10.1007/978-3-658-41657-7_53 SF ELIB - SuUB Bremen
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