A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans

OBJECTIVES: The aim of this study was to evaluate the severity of COVID-19 patients' disease by comparing a multiclass lung lesion model to a single-class lung lesion model and radiologists' assessments in chest computed tomography scans. MATERIALS AND METHODS: The proposed method, AssessN...

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Detalles Bibliográficos
Autores principales: Henao, John Anderson Garcia, Depotter, Arno, Bower, Danielle V., Bajercius, Herkus, Todorova, Plamena Teodosieva, Saint-James, Hugo, de Mortanges, Aurélie Pahud, Barroso, Maria Cecilia, He, Jianchun, Yang, Junlin, You, Chenyu, Staib, Lawrence H., Gange, Christopher, Ledda, Roberta Eufrasia, Caminiti, Caterina, Silva, Mario, Cortopassi, Isabel Oliva, Dela Cruz, Charles S., Hautz, Wolf, Bonel, Harald M., Sverzellati, Nicola, Duncan, James S., Reyes, Mauricio, Poellinger, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662611/
https://www.ncbi.nlm.nih.gov/pubmed/37493348
http://dx.doi.org/10.1097/RLI.0000000000001005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662611/
https://www.ncbi.nlm.nih.gov/pubmed/37493348
http://dx.doi.org/10.1097/RLI.0000000000001005

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