Coronavirus Disease 2019 Deep Learning Models: Methodologic Considerations
- PMID: 32243239
- PMCID: PMC7233400
- DOI: 10.1148/radiol.2020201178
Coronavirus Disease 2019 Deep Learning Models: Methodologic Considerations
Comment on
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Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.Radiology. 2020 Aug;296(2):E65-E71. doi: 10.1148/radiol.2020200905. Epub 2020 Mar 19. Radiology. 2020. PMID: 32191588 Free PMC article.
References
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- Li L, Qin L, Xu Z, et al. Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT. Radiology. Radiological Society of North America; 2020;200905. http://pubs.rsna.org/doi/10.1148/radiol.2020200905. Accessed March 23, 2020. - DOI
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- Bianco S, Cadene R, Celona L, Napoletano P. Benchmark analysis of representative deep neural network architectures. IEEE Access. Institute of Electrical and Electronics Engineers Inc.; 2018;6:64270–64277.
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- Azad R, Asadi-Aghbolaghi M, Fathy M, Escalera S. Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions. Institute of Electrical and Electronics Engineers (IEEE); 2019;406–415. http://arxiv.org/abs/1909.00166. Accessed March 23, 2020.
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