Omnidirectional 2.5D representation for COVID-19 diagnosis using chest CTs()

The Coronavirus Disease 2019 (COVID-19) has drastically overwhelmed most countries in the last two years, and image-based approaches using computerized tomography (CT) have been used to identify pulmonary infections. Recent methods based on deep learning either require time-consuming per-slice annot...

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Detalles Bibliográficos
Autores principales: da Silveira, Thiago L.T., Pinto, Paulo G.L., Lermen, Thiago S., Jung, Cláudio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2023
Materias:
Full Length Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886432/
https://www.ncbi.nlm.nih.gov/pubmed/36741546
http://dx.doi.org/10.1016/j.jvcir.2023.103775

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886432/
https://www.ncbi.nlm.nih.gov/pubmed/36741546
http://dx.doi.org/10.1016/j.jvcir.2023.103775

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