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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2023
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| Materias: | |
| 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 |