Home ›
Entities
› academia
› Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
Research article (Japanese Journal of Radiology, 2021) · cited 23× · AI/ML
Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
Summary
Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results is a scholarly article[1].
Key Facts
Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantitative-evaluation-of-covid-19-pneumonia-severity-by-ct-pneumonia-analysis-algorithm-using-deep-learning-technology
MLA“Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantitative-evaluation-of-covid-19-pneumonia-severity-by-ct-pneumonia-analysis-algorithm-using-deep-learning-technology.
BibTeX@misc{4ortxyz_quantitative-evaluation-of-covid-19-pneumonia-severity-by-ct-pneumonia-analysis-algorithm-using-deep-learning-technology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results}}, year = {2026}, url = {https://4ort.xyz/entity/quantitative-evaluation-of-covid-19-pneumonia-severity-by-ct-pneumonia-analysis-algorithm-using-deep-learning-technology}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results — https://4ort.xyz/entity/quantitative-evaluation-of-covid-19-pneumonia-severity-by-ct-pneumonia-analysis-algorithm-using-deep-learning-technology (retrieved 2026-05-24)