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	Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists
	Li, Li; Liu, Zhou; Huang, Hua; Lin, Meng; Luo, Dehong
	2019
卷号	10期号:2页码:183-192
关键词	Computer-aided diagnosis (CAD) deep learning based computer-aided diagnosis (DL-CAD) double reading lung nodule screening nodule characterization
ISSN号	1759-7706
DOI	10.1111/1759-7714.12931
URL标识	查看原文
收录类别	SCIE ; PUBMED
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6345635
专题	中国医学科学院 北京协和医学院
推荐引用方式 GB/T 7714	Li, Li,Liu, Zhou,Huang, Hua,et al. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists[J],2019,10(2):183-192.
APA	Li, Li,Liu, Zhou,Huang, Hua,Lin, Meng,&Luo, Dehong.(2019).Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.,10(2),183-192.
MLA	Li, Li,et al."Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists".10.2(2019):183-192.

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