Clinically applicable AI system for COVID-19 pneumonia diagnosis

Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography.

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Kang Zhang, Xiaohong Liu, Jun Shen, Zhihuan Li, Yunfei Zha, Wenhua Liang, Chengdi Wang, Ke Wang, Xingwang Wu, Yunfei Zha, Ming Gao, Zhongguo Zhou, Liang Li, Jin Wang, Zehong Yang, Huimin Cai, Jie Xu, Lei Yang, Wenjia Cai, Shaoxu Wu, Wei Zhang, Shanping Jiang, Lianghong Zheng, Xuan Zhang, Li Wang, Liu Lu, Jiaming Li, Haiping Yin, Winston Wang, Oulan Li, Charlotte Zhang, Liang Liang, Tao Wu, Ruiyun Deng, Kang Wei, Yong Zhou, Ting Chen, Johnson Yiu-Nam Lau, Manson Fok, Jianxing He, Tianxin Lin, Weimin Li, Guangyu Wang (2024). Dataset: Clinically applicable AI system for COVID-19 pneumonia diagnosis. https://doi.org/10.57702/dfx83h3u

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Author Kang Zhang
More Authors
Xiaohong Liu
Jun Shen
Zhihuan Li
Yunfei Zha
Wenhua Liang
Chengdi Wang
Ke Wang
Xingwang Wu
Yunfei Zha
Ming Gao
Zhongguo Zhou
Liang Li
Jin Wang
Zehong Yang
Huimin Cai
Jie Xu
Lei Yang
Wenjia Cai
Shaoxu Wu
Wei Zhang
Shanping Jiang
Lianghong Zheng
Xuan Zhang
Li Wang
Liu Lu
Jiaming Li
Haiping Yin
Winston Wang
Oulan Li
Charlotte Zhang
Liang Liang
Tao Wu
Ruiyun Deng
Kang Wei
Yong Zhou
Ting Chen
Johnson Yiu-Nam Lau
Manson Fok
Jianxing He
Tianxin Lin
Weimin Li
Guangyu Wang
Homepage https://doi.org/10.1016/j.cell.2020.12.045