A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study

OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection. METHODS: The clinical and imaging data of 64 patients with confirmed diagnoses of COVID-19 were retrospectively selec...

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Detalles Bibliográficos
Autores principales: Fu, Liping, Li, Yongchou, Cheng, Aiping, Pang, PeiPei, Shu, Zhenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682797/
https://www.ncbi.nlm.nih.gov/pubmed/32555006
http://dx.doi.org/10.1097/RTI.0000000000000544

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682797/
https://www.ncbi.nlm.nih.gov/pubmed/32555006
http://dx.doi.org/10.1097/RTI.0000000000000544

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