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- W4296743514 abstract "Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of the key factors for COVID-19 control and treatment. Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening from two independent hospitals with 419 patients. We identified the vasculature-like signals from CT images and found that, compared to healthy and community acquired pneumonia (CAP) patients, COVID-19 patients display a significantly higher abundance of these signals. Furthermore, unsupervised feature learning led to the discovery of clinical-relevant imaging biomarkers from the vasculature-like signals for accurate and sensitive COVID-19 screening that have been double-blindly validated in an independent hospital (sensitivity: 0.941, specificity: 0.920, AUC: 0.971, accuracy 0.931, F1 score: 0.929). Our findings could open a new avenue to assist screening of COVID-19 patients." @default.
- W4296743514 created "2022-09-23" @default.
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- W4296743514 date "2022-09-21" @default.
- W4296743514 modified "2023-10-17" @default.
- W4296743514 title "Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening" @default.
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- W4296743514 doi "https://doi.org/10.3389/fpubh.2022.1004117" @default.
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