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1 Ergebnisse
1
ConvUNET: a Novel Depthwise Separable ConvNet for Lung Nodu..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Tang, Xinkai
;
Liu, Feng
;
Kong, Ruoshan
... - p. 1443-1450 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385928
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>ConvUNET: a Novel Depthwise Separable ConvNet for Lung Nodule Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385928&Exemplar=1&LAN=DE A1 Tang, Xinkai A1 Liu, Feng A1 Kong, Ruoshan A1 Luo, Fei A1 Huang, Wencai A1 Zou, Jiani YR 2023 SN 2156-1133 K1 Convolutional codes K1 Solid modeling K1 Three-dimensional displays K1 Semantic segmentation K1 Computational modeling K1 Lung K1 Feature extraction K1 lung nodule segmentation K1 hierarchical encoder K1 U-shaped decoder K1 depthwise separable convolutional network SP 1443 OP 1450 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385928 DO https://doi.org/10.1109/BIBM58861.2023.10385928 SF ELIB - SuUB Bremen
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