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MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
(Elsevier, 2022)
COVID-19PneumoniaArtificial intelligence (AI)Deep learningComputed tomography (CT)
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
(elsevier, 2022)
Purpose
The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (CT).
Materials and methods
In this retrospective study, ...
Effect of Altered Iron Metabolism on Hyperinflammation and Coagulopathy in Patients with Critical COVID-19: A Retrospective Study
(2022)
Abstract: A novel coronavirus disease 2019 (COVID-19) outbreak has started in Wuhan, China, caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The relationship between altered iron homeostasis ...