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Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics
OBJECTIVE: To develop a two-step machine learning (ML) based model to diagnose and predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT chest radiomic features. METHODS: Three hundred CT scans (3-classes: 100 COVID-19, 100 pneumonia, and 100 healthy subjects) were en...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533634/ https://www.ncbi.nlm.nih.gov/pubmed/36215849 http://dx.doi.org/10.1016/j.compbiomed.2022.106165 |