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original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2022―Mar―03 |
Development of a Machine Learning-Assisted Model for the Early Detection of Severe COVID-19 Cases Combining Blood Test and Quantitative Computed Tomography Parameters |
Xiaoqi Huang, Ke Shi, Jie Zhou, Yudong Liang, Yaliang Liu, Jinpin Zhang, Youmin Guo, Chenwang Jin |
| 2 |
[GO] |
2022―Mar―03 |
Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans |
Zhan Wu, Rongjun Ge, Yang Chen, Xiaopu He, Limin Luo, Yu Cao, Hengyong Yu |
| 3 |
[GO] |
2021―Aug―31 |
Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier |
R. T. Subhalakshmi, S. Appavu Alias Balamurugan, S. Sasikala |
| 4 |
[GO] |
2021―Jul―10 |
Chest CT Findings in the Protracted Period of a Critical Patient with COVID-19 |
Weiguang Guo, Zhifeng Xu, Lixin Zhou |
| 5 |
[GO] |
2021―May―21 |
Analysis and Management of COVID-19 Using Computational Intelligence Technologies |
Xiangmin Meng, Jie Zhang |
| 6 |
[GO] |
2021―Apr―20 |
High-Resolution CT Features of the COVID-19 Infection During Short-Term Follow-Up |
Jia Cui-Yu, Zhao Da-Wei, Feng Ji-Liang, Li Rui-Li |
| 7 |
[GO] |
2021―Apr―20 |
CT Manifestations of Coronavirus Disease 2019 and the Semi-Quantitative Evaluation of Its Clinical Classification |
Chunhua Li, Guangxiao Tang, Xueyan Liu, Jia Yang, Yanqiu Lu, Xin Dai, Fajin Lyu, Yongmei Li, Shengxiu Lyu, Yaokai Chen |
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