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1 Ergebnisse
1
Mixed Transformer U-Net for Medical Image Segmentation:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Wang, Hongyi
;
Xie, Shiao
;
Lin, Lanfen
... - p. 2390-2394 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9746172
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Mixed Transformer U-Net for Medical Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9746172&Exemplar=1&LAN=DE A1 Wang, Hongyi A1 Xie, Shiao A1 Lin, Lanfen A1 Iwamoto, Yutaro A1 Han, Xian-Hua A1 Chen, Yen-Wei A1 Tong, Ruofeng YR 2022 SN 2379-190X K1 Image segmentation K1 Correlation K1 Computational modeling K1 Signal processing K1 Transformers K1 Data mining K1 Time complexity K1 Medical image segmentation K1 Deep learning K1 Vision Transformer K1 Self-attention SP 2390 OP 2394 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9746172 DO https://doi.org/10.1109/ICASSP43922.2022.9746172 SF ELIB - SuUB Bremen
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