CoVSeverity-Net: an efficient deep learning model for COVID-19 severity estimation from Chest X-Ray images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42600-022-00254-8.pdf
Reference46 articles.
1. Ai, T, Yang Z, Hou H, Zhan C, Chen C, Lv W, Tao Q, Sun Z, Xia L. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology 2020;296(2):E32–40.
2. Chowdhury, ME, Rahman T, Khandakar A, Mazhar R, Kadir MA, Mahbub ZB, Islam KR, Khan MS, Iqbal A, Al Emadi N, et al. Can AI help in screening viral and COVID-19 pneumonia? IEEE Access 2020;8:132665–76.
3. Chung, M, Bernheim A, Mei X, Zhang N, Huang M, Zeng X, Cui J, Xu W, Yang Y, Fayad ZA, et al. CT imaging features of 2019 novel Coronavirus (2019-nCOV). Radiology 2020;295 (1):202–7.
4. Cohen, JP, Morrison P, Dao L, Roth K, Duong T Q, Ghassemi M. 2020. COVID-19 image data collection: Prospective predictions are the future. arXiv:2006.11988.
5. Dataset, KR. 2021. Kaggle radiography dataset.
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