Deep learning representations to support COVID-19 diagnosis on CT slices

INTRODUCTION: The coronavirus disease 2019 (COVID-19) has become a significant public health problem worldwide. In this context, CT-scan automatic analysis has emerged as a COVID-19 complementary diagnosis tool allowing for radiological finding characterization, patient categorization, and disease f...

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Detalles Bibliográficos
Autores principales: Ruano, Josué, Arcila, John, Romo-Bucheli, David, Vargas, Carlos, Rodríguez, Jefferson, Mendoza, Óscar, Plazas, Miguel, Bautista, Lola, Villamizar, Jorge, Pedraza, Gabriel, Moreno, Alejandra, Valenzuela, Diana, Vásquez, Lina, Valenzuela-Santos, Carolina, Camacho, Paúl, Mantilla, Daniel, Martínez, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Nacional de Salud 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071798/
https://www.ncbi.nlm.nih.gov/pubmed/35471179
http://dx.doi.org/10.7705/biomedica.5927

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071798/
https://www.ncbi.nlm.nih.gov/pubmed/35471179
http://dx.doi.org/10.7705/biomedica.5927

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