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Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia

OBJECTIVES: To develop and validate a radiomics nomogram for timely predicting severe COVID-19 pneumonia. MATERIALS AND METHODS: Three hundred and sixteen COVID-19 patients (246 non-severe and 70 severe) were retrospectively collected from two institutions and allocated to training, validation, and...

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Detalles Bibliográficos
Autores principales:	Li, Liang, Wang, Li, Zeng, Feifei, Peng, Gongling, Ke, Zan, Liu, Huan, Zha, Yunfei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2021
Materias:	Imaging Informatics and Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009273/ https://www.ncbi.nlm.nih.gov/pubmed/33786655 http://dx.doi.org/10.1007/s00330-021-07727-x

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