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1 Ergebnisse
1
High Throughput Deep Model of 3D Nucleus Instance Segmentat..:
, In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
,
Wei, Ziquan
;
Dan, Tingting
;
Ding, Jiaqi
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISBI53787.2023.10230745
RT T1 <cTitle>2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10230745&Exemplar=1&LAN=DE A1 Wei, Ziquan A1 Dan, Tingting A1 Ding, Jiaqi A1 McCormick, Carolyn A1 Kyere, Felix A. A1 Kim, Minjeong A1 Borland, David A1 Stein, Jason L. A1 Wu, Guorong YR 2023 SN 1945-8452 K1 Image segmentation K1 Solid modeling K1 Three-dimensional displays K1 Microscopy K1 Computational modeling K1 Biological system modeling K1 Predictive models K1 3D Microscopy Image K1 nucleus instance Segmentation K1 Mask RCNN K1 Graph Neural Network SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISBI53787.2023.10230745 DO https://doi.org/10.1109/ISBI53787.2023.10230745 SF ELIB - SuUB Bremen
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