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Toplam kayıt 3, listelenen: 1-3
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)
Leukocyte albumin ratio as an early predictor of mortality in critical COVID-19 patients
(Bayrakol Medıcal Publisher, 2022)
Aim: The aim of this study is to analyze the effectiveness of the leukocyte albumin ratio (LAR) in predicting mortality in critical COVID-19 patients. Material and Methods: In this retrospectively-designed study, we evaluated ...
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, ...