| 新型冠状病毒肺炎的影像学应用及进展 |
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| 引用本文： | 邓靓娜,,,薛彩强,,,林晓强,,,张斌,,,韩涛,,,景梦园,,,周俊林,,.新型冠状病毒肺炎的影像学应用及进展[J].中国医学物理学杂志,2020,37(6):726-729. |
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| 作者姓名： | 邓靓娜 薛彩强 林晓强 张斌 韩涛 景梦园 周俊林 |
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| 作者单位： | 1.兰州大学第二医院放射科， 甘肃 兰州 730030； 2.兰州大学第二临床医学院， 甘肃 兰州 730000； 3.甘肃省医学影像重点实验室， 甘肃 兰州 730030 |
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| 摘 要： | 新型冠状病毒肺炎（Corona Virus Disease 2019, COVID-19）引起了全球大规模疫情，其影像学表现多种多样且变化迅速，本文从影像学在COVID-19的诊断、分期分型、随访方面的应用进展及人工智能在COVID-19影像诊断方面的研究进展进行综述。
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| 关 键 词： | 新型冠状病毒 肺炎 影像学 综述 |
Application progress of imaging in COVID-19 |
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| DENG Liangna,,,XUE Caiqiang,,,LIN Xiaoqiang,,,ZHANG Bin,,,HAN Tao,,,JING Mengyuan,,,ZHOU Junlin,,.Application progress of imaging in COVID-19[J].Chinese Journal of Medical Physics,2020,37(6):726-729. |
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| Authors: | DENG Liangna XUE Caiqiang LIN Xiaoqiang ZHANG Bin HAN Tao JING Mengyuan ZHOU Junlin |
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| Institution: | 1.Department of Radiology, Lanzhou University Second Hospital, Lanzhou 730030, China 2. Second School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China 3. Key Laboratory of Medical Imaging in Gansu Province, Lanzhou 730030, China |
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| Abstract: | Abstract: Recently, Corona Virus Disease 2019 (COVID-19) has caused a large-scale epidemic in the world, and its imaging findings are varied and changing rapidly. Herein the application progress of imaging in the diagnosis, staging, typing and follow-up of COVID-19 and the research progress of artificial intelligence in the imaging diagnosis of COVID-19 are reviewed. |
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| Keywords: | Keywords: SARS-CoV-2 pneumonia imaging review |
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