Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results - Concepedia

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Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results

DOI Full Paper Access

23

Citations

20

References

2021

Year

Tomohisa Okuma, Shinichi Hamamoto, Tetsunori Maebayashi, Akishige Taniguchi, Kyoko Hirakawa, Shu Matsushita, Kazuki Matsushita, Katsuko Murata, Takao Manabe, Yukio Miki

Japanese Journal of Radiology

EngineeringDeep LearningCovid-19Covid-19 Pneumonia SeverityDiagnosisRespiratory InfectionDeep Learning TechnologyInfectious Respiratory DiseaseComputer-aided DiagnosisDisease DetectionMedical Image ComputingMedicineBlood Test ResultsRadiology

References

	Year	Citations

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