A Machine Learning Based Approach for Estimation of the Lung Affectation Degree in CXR Images of COVID-19 Patients
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-89691-1_2
Reference23 articles.
1. Ng, M.-Y., Lee, Y.P., et al.: Imaging profile of the COVID-19 infection: radiologic findings and literature review. Radiol. Cardiothogracic Imaging 2(1) (2020)
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3. Borghesi, A., et al.: Radiographic severity index in COVID-19 pneumonia: relationship to age and sex in 783 Italian patients. Radiol. Med. (Torino) 125(5), 461–464 (2020). https://doi.org/10.1007/s11547-020-01202-1
4. Monaco, C.G., et al.: Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study. Eur. Radiol. Exp. 4(1), 1–7 (2020). https://doi.org/10.1186/s41747-020-00195-w
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1. Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia;Lecture Notes in Computer Science;2023
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