Machine Learning Model Based on Radiomic Features for Differentiation between COVID-19 and Pneumonia on Chest X-ray

Machine learning approaches are employed to analyze differences in real-time reverse transcription polymerase chain reaction scans to differentiate between COVID-19 and pneumonia. However, these methods suffer from large training data requirements, unreliable images, and uncertain clinical diagnosis...

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Detalles Bibliográficos
Autor principal: Kim, Young Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460643/
https://www.ncbi.nlm.nih.gov/pubmed/36081170
http://dx.doi.org/10.3390/s22176709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460643/
https://www.ncbi.nlm.nih.gov/pubmed/36081170
http://dx.doi.org/10.3390/s22176709

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