Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.

"Declarations For Italian Dataset: IRB for the retrospective analysis of CT lung in patients affected by COVID19 granted by the Hospital of Novara to Professor Alessandro Carriero, Co-author of the research you are designing in the artificial intelligence application in the detection and risk stratification of COVID patients. Ethic Committee NameAssessment of diagnostic performance of Computed Tomography in patients affected by SARS COVID 19 Infection. Approval Code131/20. Approvalauthorized by the Azienda Ospedaliero Universitaria Maggiore della Carità di Novara on June 25th, 2020. Informed ConsentConsent was waived. For Crotian Dataset: IRB for the retrospective analysis of CT lung in patients affected by COVID19 granted by the Hospital of Novara to Professor Alessandro Carriero, Co-author of the research you are designing in the artificial intelligence application in the detection and risk stratification of COVID patients. Ethic Committee NameThe use of artificial intelligence for multislice computer tomography (MSCT) images in patients with adult respiratory diseases syndrome and COVID-19 pneumonia. Approval Code01–2239-1–2020. ApprovalAuthorized by the University Hospital for Infectious Diseases “Dr. Fran Mihaljevic”, Zegreb, Mirogojska 8. On November 9th, 2020. Approved to Klaudija Viskovic, MD, PhD. Informed ConsentConsent was waived. Conflict of InterestThere are no Conflict of Interest. Conflict of Interest There are no Conflict of Interest."