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From Community Acquired Pneumonia to COVID-19: A Deep Learning Based Method for Quantitative Analysis of COVID-19 on thick-section CT Scans
2020-04-23
radiology and imaging
Title + abstract only
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BackgroundThick-section CT scanners are more affordable for the developing countries. Considering the widely spread COVID-19, it is of great benefit to develop an automated and accurate system for quantification of COVID-19 associated lung abnormalities using thick-section chest CT images. PurposeTo develop a fully automated AI system to quantitatively assess the disease severity and disease progression using thick-section chest CT images. Materials and MethodsIn this retrospective study, a de...
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