Lung infection quantification of COVID-19 in CT images with deep learning

F Shan, Y Gao, J Wang, W Shi, N Shi, M Han… - arXiv preprint arXiv …, 2020 - arxiv.org
… , laboratory, and imaging findings of COVID-19 pneumonia in humans, whereas in this
manuscript we develop a deep learning system to quantify COVID19 infection in CT scans. The …

[HTML][HTML] Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning

JOB Diniz, DBP Quintanilha, AC Santos Neto… - Multimedia Tools and …, 2021 - Springer
… This study presented a method for segmenting infections caused by COVID-19 and
quantifying these findings. The method was created using two databases: one public (LSTSC …

[HTML][HTML] Automatic deep learning system for COVID-19 infection quantification in chest CT

OI Alirr - Multimedia Tools and Applications, 2022 - Springer
… and delineate the COVID-19 infections in CT … infections inside it. The system helps the
physicians to assess the evolution of the disease, calculate the burden and severity of the infection

Detection and quantification of Covid-19 antiviral drugs in biological fluids and tissues

MA Acquavia, L Foti, R Pascale, A Nicolò… - Talanta, 2021 - Elsevier
… A new coronavirus infection, designated as COVID-19 by the World Health Organization (…
), the virus of COVID-19 pandemic is formally associated with SARS coronavirus 2 (SARS-CoV-…

Optimal allocation of limited test resources for the quantification of COVID-19 infections

M Chatzimanolakis, P Weber, G Arampatzis, D Wälchli… - medRxiv, 2020 - medrxiv.org
… ’s population during the COVID-19 epidemic. The proposed … for an accurate assessment of
COVID-19 infections [21] and it … for the estimate of unobserved COVID-19 infections [5] in the …

[HTML][HTML] Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software

H Zhang, J Zhang, H Zhang, Y Nan, Y Zhao… - European journal of …, 2020 - Springer
… Pipeline for quantifying COVID-19 infection A chest CT scan is first fed into the deep
learning-based segmentation system. Then, quantitative metrics are calculated to characterize …

Multiplexed detection and quantification of human antibody response to COVID-19 infection using a plasmon enhanced biosensor platform

NC Cady, N Tokranova, A Minor, N Nikvand… - Biosensors and …, 2021 - Elsevier
The 2019 SARS CoV-2 (COVID-19) pandemic has illustrated the need for rapid and accurate
diagnostic tests. In this work, a multiplexed grating-coupled fluorescent plasmonics (GC-FP…

[HTML][HTML] Chest CT computerized aided quantification of PNEUMONIA lesions in COVID-19 infection: a comparison among three commercial software

R Grassi, S Cappabianca, F Urraro, B Feragalli… - International Journal of …, 2020 - mdpi.com
… in the quantification of Pneumonia Lesions in COVID-19 infection … 162 patients with
confirmed COVID-19 infection by reverse … Quantified volumes by InferRead software had a low …

Quantifying asymptomatic infection and transmission of COVID-19 in New York City using observed cases, serology, and testing capacity

R Subramanian, Q He… - Proceedings of the …, 2021 - National Acad Sciences
… the symptomatic proportion of COVID-19 cases. We show that most COVID-19 infections
are asymptomatic, and that these asymptomatic infections together with presymptomatic ones …

Quantifying the effect of quarantine control in Covid-19 infectious spread using machine learning

R Dandekar, G Barbastathis - MedRxiv, 2020 - medrxiv.org
… Since the first recording of what we now call Covid-19 infection in Wuhan, Hubei province, …
The effectiveness of these responses is notoriously difficult to quantify as individuals travel, …