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1 Ergebnisse
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AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Ai..:
, In:
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
,
Qin, Yulei
;
Gu, Yun
;
Zheng, Hao
... - p. 809-813 , 2020
Link:
https://doi.org/10.1109/ISBI45749.2020.9098537
RT T1 <cTitle>2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9098537&Exemplar=1&LAN=DE A1 Qin, Yulei A1 Gu, Yun A1 Zheng, Hao A1 Chen, Mingjian A1 Yang, Jie A1 Zhu, Yue-Min YR 2020 SN 1945-8452 K1 Computed tomography K1 Atmospheric modeling K1 Feature extraction K1 Predictive models K1 Task analysis K1 Lung K1 Airway segmentation K1 context scale K1 voxel connectivity K1 convolutional neural networks SP 809 OP 813 LK http://dx.doi.org/https://doi.org/10.1109/ISBI45749.2020.9098537 DO https://doi.org/10.1109/ISBI45749.2020.9098537 SF ELIB - SuUB Bremen
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