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1
M-DenseUNet: Multi Dense Encoder Connected UNet for Biomedi..:
, In:
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)
,
Jin, Tongdan
;
Chen, Kaixu
;
Yamane, Satoshi
. - p. 919-921 , 2022
Link:
https://doi.org/10.1109/GCCE56475.2022.10014305
RT T1 <cTitle>2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)</cTitle>: T1 <Title>M-DenseUNet: Multi Dense Encoder Connected UNet for Biomedical Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10014305&Exemplar=1&LAN=DE A1 Jin, Tongdan A1 Chen, Kaixu A1 Yamane, Satoshi A1 Kuroda, Yoshihiro YR 2022 K1 Image segmentation K1 Feature extraction K1 Task analysis K1 Consumer electronics K1 Biomedical imaging K1 U-Net K1 DenseNet K1 Dense Encoder K1 Transition K1 Biomedical image segmentation SP 919 OP 921 LK http://dx.doi.org/https://doi.org/10.1109/GCCE56475.2022.10014305 DO https://doi.org/10.1109/GCCE56475.2022.10014305 SF ELIB - SuUB Bremen
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