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1 Ergebnisse
1
Annotation-Free Gliomas Segmentation Based on a Few Labeled..:
, In:
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
,
Dong, Hexin
;
Yu, Fei
;
Jiang, Han
... - p. 354-358 , 2020
Link:
https://doi.org/10.1109/ISBI45749.2020.9098366
RT T1 <cTitle>2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9098366&Exemplar=1&LAN=DE A1 Dong, Hexin A1 Yu, Fei A1 Jiang, Han A1 Zhang, Hua A1 Dong, Bin A1 Li, Quanzheng A1 Zhang, Li YR 2020 SN 1945-8452 K1 Image segmentation K1 Data models K1 Tumors K1 Adaptation models K1 Brain modeling K1 Semisupervised learning K1 Training K1 Unsupervised Domain Adaptation K1 Semi-supervised Learning K1 Semantic Segmentation K1 MixMatch K1 Brain Gliomas Segmentation SP 354 OP 358 LK http://dx.doi.org/https://doi.org/10.1109/ISBI45749.2020.9098366 DO https://doi.org/10.1109/ISBI45749.2020.9098366 SF ELIB - SuUB Bremen
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