Ara
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)
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, ...
Evaluation of the efferent auditory system in COVID-19 adult patients
(Taylor & Francis, 2022)
Background: The short- and long-term effects of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on the medial olivocochlear reflex and outer hair cells in the cochlea remain largely unclear. Aims: ...
The Impact of COVID-19 on Conjunctival Flora
(Taylor & Francis, 2021)
Purpose: This study aims to evaluate the effect of coronavirus disease 2019 (COVID-19) on conjunctival flora in patients hospitalized with COVID-19. Methods: This prospective, controlled study was conducted between June ...