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1 Ergebnisse
1
Unsupervised Domain Adaptation Using Adversarial Learning a..:
, In:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Jain, Rahul Kumar
;
Sato, Takahiro
;
Watasue, Taro
... - p. 1536-1539 , 2022
Link:
https://doi.org/10.1109/EMBC48229.2022.9871539
RT T1 <cTitle>2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9871539&Exemplar=1&LAN=DE A1 Jain, Rahul Kumar A1 Sato, Takahiro A1 Watasue, Taro A1 Nakagawa, Tomohiro A1 Iwamoto, Yutaro A1 Han, Xianhua A1 Lin, Lanfen A1 Hu, Hongjie A1 Ruan, Xiang A1 Chen, Yen-Wei YR 2022 SN 2694-0604 K1 Training K1 Adaptation models K1 Annotations K1 Computed tomography K1 Liver K1 Training data K1 Detectors SP 1536 OP 1539 LK http://dx.doi.org/https://doi.org/10.1109/EMBC48229.2022.9871539 DO https://doi.org/10.1109/EMBC48229.2022.9871539 SF ELIB - SuUB Bremen
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