Optimized COVID-19 detection using sparse deep learning models from multimodal imaging data
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18987-2.pdf
Reference39 articles.
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3. Li S, Jiang W, Huang J, Liu Y, Ren L, Zhuang L, et al (2020) Highly sensitive and specific diagnosis of COVID-19 by reverse transcription multiple cross-displacement amplification-labelled nanoparticles biosensor. Eur Respir J 56(6). https://doi.org/10.1183/13993003.02060-2020
4. Zu ZY, Jiang MD, Xu PP, Chen W, Ni QQ, Lu GM et al (2020) Coronavirus disease 2019 (COVID-19): a perspective from China. Radiology 296(2):E15–E25. https://doi.org/10.1148/radiol.2020200490
5. Ht Zhang, Js Zhang, Zhang Hh, Nan Yd, Zhao Y, Eq Fu et al (2020) Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software. Eur J Nucl Med Mol Imaging 47(11):2525–2532. https://doi.org/10.1007/s00259-020-04953-1
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