Shuyi Yang

Fudan University - Department of Radiology

China

SCHOLARLY PAPERS

1

DOWNLOADS

744

TOTAL CITATIONS

21

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Deep Learning-Based Quantitative Computed Tomography Model in Predicting the Severity of COVID-19: A Retrospective Study in 196 Patients

Number of pages: 32 Posted: 03 Mar 2020
Weiya Shi, Xueqing Peng, Tiefu Liu, Zenghui Cheng, Hongzhou Lu, Shuyi Yang, Jiulong Zhang, Feng Li, Mei Wang, Xinlei Zhang, Yaozong Gao, Yuxin Shi, Zhiyong Zhang and Fei Shan
Fudan University - Department of Radiology, Fudan University - Institute of Biomedical Sciences, Fudan University - Department of Scientific Research, Shanghai Jiao Tong University (SJTU) - Department of Radiology, Fudan University - Department of Radiology, Fudan University - Department of Radiology, Fudan University - Department of Radiology, Fudan University - Department of Respiration, Fudan University - Department of Respiration, Fudan University - Department of Radiology, Shanghai United Imaging Healthcare Co., Ltd - Department of Research and Development, Fudan University - Department of Radiology, Fudan University - Department of Radiology and Fudan University - Department of Radiology
Downloads 744 (74,859)
Citation 21

Abstract:

Loading...

Corona Virus Disease 2019, Computed tomography, Deep learning, Multivariate analysis, Predicting