Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels

Research article (IEEE Journal of Biomedical and Health Informatics, 2020) · cited 38× · AI/ML
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Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels

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Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. Retrieved May 24, 2026, from https://4ort.xyz/entity/severity-and-consolidation-quantification-of-covid-19-from-ct-images-using-deep-learning-based-on-hybrid-weak-labels
MLA “Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/severity-and-consolidation-quantification-of-covid-19-from-ct-images-using-deep-learning-based-on-hybrid-weak-labels.
BibTeX @misc{4ortxyz_severity-and-consolidation-quantification-of-covid-19-from-ct-images-using-deep-learning-based-on-hybrid-weak-labels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels}}, year = {2026}, url = {https://4ort.xyz/entity/severity-and-consolidation-quantification-of-covid-19-from-ct-images-using-deep-learning-based-on-hybrid-weak-labels}, note = {Accessed: 2026-05-24}}
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