[HTML][HTML] COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings
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)
system using CT features to automatically discriminate COVID-19 from non-COVID-19
pneumonia patients. Methods Overall, 612 patients (306 COVID-19 and 306 non-COVID-19
pneumonia) were recruited. Twenty radiological features were extracted from CT images to
evaluate the pattern, location, and distribution of lesions of patients in both groups. All …
pneumonia diseases. This study proposes a clinical computer-aided diagnosis (CAD)
system using CT features to automatically discriminate COVID-19 from non-COVID-19
pneumonia patients. Methods Overall, 612 patients (306 COVID-19 and 306 non-COVID-19
pneumonia) were recruited. Twenty radiological features were extracted from CT images to
evaluate the pattern, location, and distribution of lesions of patients in both groups. All …
以上显示的是最相近的搜索结果。 查看全部搜索结果