A Comprehensive Review of Artificial Intelligence Applications in the Fight against COVID19
Author:
Affiliation:
1. Computer Science and engineering, Manipal University Jaipur, India
2. Computer Science and Engineering, Manipal University Jaipur, India and Computer Science and Engineering, Manipal University Jaipur, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3647444.3647836
Reference29 articles.
1. [1] Stefanos Tsimenidis; Limitations of Deep Neural Networks; https://arxiv.org/abs/2012.15754
2. [2] Linda Wang, Zhong Qiu Lin; COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images; https://www.nature.com/articles/s41598-020-76550-z
3. [3] Lin Li Lixin Qin Zeguo Xu; Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233473/
4. Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study
5. [5] Yuhui Wang, Chengjun Dong; Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study; https://pubmed.ncbi.nlm.nih.gov/32191587/
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