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Domain-Agnostic Learning With Anatomy-Consistent Embedding ..:
, In:
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
,
Yang, Junlin
;
Dvornek, Nicha C.
;
Zhang, Fan
... - p. 323-331 , 2019
Link:
https://doi.org/10.1109/ICCVW.2019.00043
RT T1 <cTitle>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</cTitle>: T1 <Title>Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9022229&Exemplar=1&LAN=DE A1 Yang, Junlin A1 Dvornek, Nicha C. A1 Zhang, Fan A1 Zhuang, Juntang A1 Chapiro, Julius A1 Lin, MingDe A1 Duncan, James S. YR 2019 SN 2473-9944 K1 Task analysis K1 Adaptation models K1 Biomedical imaging K1 Computed tomography K1 Image segmentation K1 Liver K1 Machine learning K1 Domain Agnostic Learning K1 Disentangled Representations K1 Cross Modality Segmentation SP 323 OP 331 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW.2019.00043 DO https://doi.org/10.1109/ICCVW.2019.00043 SF ELIB - SuUB Bremen
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