Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography

PURPOSE: To evaluate the classification performance of structured report features, radiomics, and machine learning (ML) models to differentiate between Coronavirus Disease 2019 (COVID-19) and other types of pneumonia using chest computed tomography (CT) scans. METHODS: Sixty-four COVID-19 subjects a...

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Detalles Bibliográficos
Autores principales: Machado, Marcos A. D., Silva, Ronnyldo R. E., Namias, Mauro, Lessa, Andreia S., Neves, Margarida C. L. C., Silva, Carolina T. A., Oliveira, Danillo M., Reina, Thamiris R., Lira, Arquimedes A. B., Almeida, Leandro M., Zanchettin, Cleber, Netto, Eduardo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990550/
https://www.ncbi.nlm.nih.gov/pubmed/37077697
http://dx.doi.org/10.1007/s40846-023-00781-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990550/
https://www.ncbi.nlm.nih.gov/pubmed/37077697
http://dx.doi.org/10.1007/s40846-023-00781-4

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