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SCTransNet: 3D Medical Image Segmentation Model Based on th..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Jia, Yongchang
;
Duan, Guihua
;
Sheng, Yu
- p. 1158-1165 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385741
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>SCTransNet: 3D Medical Image Segmentation Model Based on the Fusion of CNN and Transformer</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385741&Exemplar=1&LAN=DE A1 Jia, Yongchang A1 Duan, Guihua A1 Sheng, Yu YR 2023 SN 2156-1133 K1 Image segmentation K1 Solid modeling K1 Three-dimensional displays K1 Semantics K1 Liver K1 Feature extraction K1 Transformers K1 Liver and Liver Tumors K1 Image Segmentation K1 CNN K1 Transformer SP 1158 OP 1165 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385741 DO https://doi.org/10.1109/BIBM58861.2023.10385741 SF ELIB - SuUB Bremen
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