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1 Ergebnisse
1
An Unsupervised GAN-based Quality-enhanced Medical Image Fu..:
, In:
2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
,
Yanli, Liu
;
Zimu, Li
;
Junce, Feng
. - p. 429-432 , 2022
Link:
https://doi.org/10.1109/TOCS56154.2022.10016141
RT T1 <cTitle>2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)</cTitle>: T1 <Title>An Unsupervised GAN-based Quality-enhanced Medical Image Fusion Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10016141&Exemplar=1&LAN=DE A1 Yanli, Liu A1 Zimu, Li A1 Junce, Feng A1 Gu, Yuanjie YR 2022 K1 Training K1 Measurement K1 Magnetic resonance imaging K1 Generative adversarial networks K1 Visual effects K1 Telecommunications K1 Medical diagnostic imaging K1 Medical image fusion K1 Multi-modality K1 Quality-enhanced GAN K1 Unsupervised learning SP 429 OP 432 LK http://dx.doi.org/https://doi.org/10.1109/TOCS56154.2022.10016141 DO https://doi.org/10.1109/TOCS56154.2022.10016141 SF ELIB - SuUB Bremen
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