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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