Title | ||
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Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images |
Abstract | ||
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A novel coronavirus (COVID-19) recently emerged as an acute respiratory syndrome, and has caused a pneumonia outbreak world-widely. As the COVID-19 continues to spread rapidly across the world, computed tomography (CT) has become essentially important for fast diagnoses. Thus, it is urgent to develop an accurate computer-aided method to assist clinicians to identify COVID-19-infected patients by C... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TCBB.2021.3065361 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Feature extraction,Computed tomography,Lung,COVID-19,Hospitals,Lesions,Deep learning,Medical diagnosis | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5963 | 21 |
PageRank | References | Authors |
0.91 | 4 | 13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Song | 1 | 21 | 1.58 |
Shuangjia Zheng | 2 | 21 | 0.91 |
Liang Li | 3 | 21 | 0.91 |
Xiang Zhang | 4 | 22 | 1.30 |
Xiaodong Zhang | 5 | 21 | 0.91 |
Ziwang Huang | 6 | 22 | 1.98 |
Jianwen Chen | 7 | 22 | 2.32 |
Ruixuan Wang | 8 | 109 | 15.69 |
Huiying Zhao | 9 | 21 | 0.91 |
Yunfei Zha | 10 | 26 | 2.40 |
Jun Shen | 11 | 21 | 1.25 |
Yutian Chong | 12 | 21 | 1.92 |
Yuedong Yang | 13 | 73 | 7.64 |