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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Bibliografski detalji
Glavni autori: Josué Ruano, John Arcila, David Romo-Bucheli, Carlos Vargas, Jefferson Rodríguez, Óscar Mendoza, Miguel Plazas, Lola Bautista, Jorge Villamizar, Gabriel Pedraza, Alejandra Moreno, Diana Valenzuela, Lina Vázquez, Carolina Valenzuela-Santos, Paul Camacho, Daniel Mantilla, Fabio Martínez Carrillo
Format: Artigo
Jezik:Inglês
Izdano: Instituto Nacional de Salud 2022-03-01
Serija:Biomédica: revista del Instituto Nacional de Salud
Teme:
coronavirus infections/diagnosis
tomography, x-ray computed
deep learning
Online pristup:https://revistabiomedica.org/index.php/biomedica/article/view/5927
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