Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study | |
Wu, Xiangjun1,2; Hui, Hui2,3; Niu, Meng4; Li, Liang5; Wang, Li6; He, Bingxi2,3; Yang, Xin2; Li, Li7; Li, Hongjun7; Tian, Jie2,3,8; Zha, Yunfei5 | |
发表期刊 | EUROPEAN JOURNAL OF RADIOLOGY |
ISSN | 0720-048X |
2020-07-01 | |
卷号 | 128期号:109041页码:9 |
摘要 | Purpose |
关键词 | Coronavirus disease 2019 Deep learning Multi-view model Computed tomography |
DOI | 10.1016/j.ejrad.2020.109041 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2017YFA0700401] ; National Key Research and Development Program of China[2016YFC0103803] ; National Key Research and Development Program of China[2017YFA0205200] ; National Key Research and Development Program of China[2019YFC0118100] ; Novel Coronavirus Pneumonia Emergency Key Project of Science and Technology of Hubei Province[2020FCA015] ; National Natural Science Foundation of China[81671851] ; National Natural Science Foundation of China[81827808] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81871332] ; National Natural Science Foundation of China[81227901] ; Chinese Academy of Sciences[XDB32030200] ; Chinese Academy of Sciences[YJKYYQ20170075] |
项目资助者 | National Key Research and Development Program of China ; Novel Coronavirus Pneumonia Emergency Key Project of Science and Technology of Hubei Province ; National Natural Science Foundation of China ; Chinese Academy of Sciences |
WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000540453900003 |
出版者 | ELSEVIER IRELAND LTD |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39803 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Niu, Meng; Tian, Jie; Zha, Yunfei |
作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.China Med Univ, Hosp 1, Intervent Radiol Dept, Shenyang 110001, Peoples R China 5.Wuhan Univ, Renmin Hosp, Dept Radiol, Wuhan 430060, Peoples R China 6.Wuhan Univ, Renmin Hosp, Dept Infect Prevent & Control Off, Wuhan 430060, Peoples R China 7.Capital Med Univ, Beijing Youan Hosp, Dept Radiol, Beijing 100069, Peoples R China 8.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100083, Peoples R China |
第一作者单位 | 中国科学院分子影像重点实验室 |
通讯作者单位 | 中国科学院分子影像重点实验室 |
推荐引用方式 GB/T 7714 | Wu, Xiangjun,Hui, Hui,Niu, Meng,et al. Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study[J]. EUROPEAN JOURNAL OF RADIOLOGY,2020,128(109041):9. |
APA | Wu, Xiangjun.,Hui, Hui.,Niu, Meng.,Li, Liang.,Wang, Li.,...&Zha, Yunfei.(2020).Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.EUROPEAN JOURNAL OF RADIOLOGY,128(109041),9. |
MLA | Wu, Xiangjun,et al."Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study".EUROPEAN JOURNAL OF RADIOLOGY 128.109041(2020):9. |
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