Automated quantification of COVID-19 severity and progression using chest CT images

OBJECTIVE: To develop and test computer software to detect, quantify, and monitor progression of pneumonia associated with COVID-19 using chest CT scans. METHODS: One hundred twenty chest CT scans from subjects with lung infiltrates were used for training deep learning algorithms to segment lung reg...

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Détails bibliographiques
Publié dans:Eur Radiol
Auteurs principaux: Pu, Jiantao, Leader, Joseph K., Bandos, Andriy, Ke, Shi, Wang, Jing, Shi, Junli, Du, Pang, Guo, Youmin, Wenzel, Sally E., Fuhrman, Carl R., Wilson, David O., Sciurba, Frank C., Jin, Chenwang
Format: Artigo
Langue:Inglês
Publié: Springer Berlin Heidelberg 2020
Sujets:
Imaging Informatics and Artificial Intelligence
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7755837/
https://ncbi.nlm.nih.gov/pubmed/32789756
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07156-2
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