Objectives CT findings of COVID-19 look similar to other atypical and viral (non-COVID-19)
pneumonia diseases. This study proposes a clinical computer-aided diagnosis (CAD) …

Objectives To develop a predictive model and scoring system to enhance the diagnostic
efficiency for coronavirus disease 2019 (COVID-19). Methods From January 19 to February …

Objective To define the uniqueness of chest CT infiltrative features associated with COVID-
19 image characteristics as potential diagnostic biomarkers. Methods We retrospectively …

Objective To review the available literature concerning the effectiveness of the COVID-19
diagnostic tools. Background With the absence of specific treatment/vaccines for the …

Objective To develop a fully automated AI system to quantitatively assess the disease
severity and disease progression of COVID-19 using thick-section chest CT images …

Objectives To utilize a deep learning model for automatic detection of abnormalities in chest
CT images from COVID-19 patients and compare its quantitative determination performance …

Background The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide
threat to public health. While chest computed tomography (CT) plays an indispensable role …

Background Although typical and atypical CT image findings of COVID-19 are reported in
current studies, the CT image features of COVID-19 overlap with those of viral pneumonia …

Background: As global healthcare system is overwhelmed by novel coronavirus disease
(COVID-19), early identification of risks of adverse outcomes becomes the key to optimize …

Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world
since the beginning of 2020. It is desirable to develop automatic and accurate detection of …