| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/34457220_HAS_TOPIC_C0018233> <https://research.tib.eu/covid-19/entity/34457220_HAS_TOPIC_C0043309> <https://research.tib.eu/covid-19/entity/34457220_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/34457220_HAS_TOPIC_C4704761> <https://research.tib.eu/covid-19/entity/34457220_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/34457220_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730000, China.\', \'Center for Intelligent and Networked Systems (CFINS), Department of Automation, Tsinghua University, Beijing 100084, China.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Ji_Dongsheng> <https://research.tib.eu/covid-19/entity/Zhang_Zhujun> <https://research.tib.eu/covid-19/entity/Zhao_Qianchuan> <https://research.tib.eu/covid-19/entity/Zhao_Yanzhong>
?:doi	10.1155/2021/6799202
?:doi	<https://research.tib.eu/covid-19/entity/10.1155/2021/6799202>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article> <https://research.tib.eu/covid-19/entity/Research_Support%2C_Non-U.S._Gov%27t>
?:journal	Journal of healthcare engineering
is ?:pmid of	<https://research.tib.eu/covid-19/entity/34457220>
?:pmid	<https://research.tib.eu/covid-19/entity/34457220>
?:pmid	34457220
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	0.28
?:rankingScore_hIndex	14
?:title	Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2021

Metadata

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