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1 Ergebnisse
1
Focus on Key Features: A Computer-Aided System for Airborne..:
, In:
2024 IEEE International Conference on Digital Health (ICDH)
,
Liu, Suqin
;
Li, Jianqiang
;
Liu, Fangyi
... - p. 262-269 , 2024
Link:
https://doi.org/10.1109/ICDH62654.2024.00049
RT T1 <cTitle>2024 IEEE International Conference on Digital Health (ICDH)</cTitle>: T1 <Title>Focus on Key Features: A Computer-Aided System for Airborne Allergenic Pollen Recognition Based on Localization-before-Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10645896&Exemplar=1&LAN=DE A1 Liu, Suqin A1 Li, Jianqiang A1 Liu, Fangyi A1 Xu, Xi A1 Zhao, Linna A1 Cheng, Wenxiu A1 Ding, Shujie YR 2024 K1 Location awareness K1 Image color analysis K1 Microscopy K1 Current measurement K1 Manuals K1 Electronic healthcare K1 Character recognition K1 airborne allergenic pollen K1 pollen classification K1 pollen localization K1 attention mechanism K1 localization-before-classification K1 computer-aided system SP 262 OP 269 LK http://dx.doi.org/https://doi.org/10.1109/ICDH62654.2024.00049 DO https://doi.org/10.1109/ICDH62654.2024.00049 SF ELIB - SuUB Bremen
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