Mix Contrast for COVID-19 Mild-to-Critical Prediction

Yongbei Zhu, Shuo Wang,Siwen Wang,Qingxia Wu,Liusu Wang,Hongjun Li,Meiyun Wang,Meng Niu,Yunfei Zha,Jie Tian

IEEE Transactions on Biomedical Engineering（2021）

Cited 5|Views13

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Abstract

Objective: In a few patients with mild COVID-19, there is a possibility of the infection becoming severe or critical in the future. This work aims to identify high-risk patients who have a high probability of changing from mild to critical COVID-19 (only account for 5% of cases). Methods: Using traditional convolutional neural networks for classification may not b...

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Key words

COVID-19,Computed tomography,Measurement,Hospitals,Loss measurement,Training,Task analysis

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