The Role of Imaging in the Detection and Management of COVID-19: A Review
Year: 2020
Type: review
Institutions: Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Beihang University, Ministry of Industry and Information Technology, Northeastern University, Sun Yat-sen University, United Imaging Intelligence (China), Tsinghua University, Nanjing University of Aeronautics and Astronautics, Wuhan Union Hospital, Huazhong University of Science and Technology, Capital Medical University, Beijing YouAn Hospital
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: closed
Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China, Youth Innovation Promotion Association
Awards: G1562841400, G1748012057, G2024671333, G2144805953, G2507597887, G2856080108, 基于多模态影像组学的肝细胞癌微血管侵犯预测关键问题研究, G3994282545, G420660470, G4398641949, G481084305, G5040048801, G5324812680, G5363342645, G566861090, G6256444366, G6307425012, G6308010879, G6645604085, G6837953518, G6841054713, G6856281997, G7074711529, G7097125829, G7889244131, G8807588291, G8879169701, G911398917
OpenAlex ID: W3022592783