Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia

BACKGROUND: To develop a machine learning-based CT radiomics model is critical for the accurate diagnosis of the rapid spreading coronavirus disease 2019 (COVID-19). METHODS: In this retrospective study, a total of 326 chest CT exams from 134 patients (63 confirmed COVID-19 patients and 71 non-COVID...

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Detalles Bibliográficos
Autores principales: Chen, Hui Juan, Mao, Li, Chen, Yang, Yuan, Li, Wang, Fei, Li, Xiuli, Cai, Qinlei, Qiu, Jie, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424152/
https://www.ncbi.nlm.nih.gov/pubmed/34496794
http://dx.doi.org/10.1186/s12879-021-06614-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424152/
https://www.ncbi.nlm.nih.gov/pubmed/34496794
http://dx.doi.org/10.1186/s12879-021-06614-6

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