Link to publication below contains AI model that was only partly derived from this data, but also from other data, not present here on TCIA. Harmon , S.A.SA, Sanford TH, T.H., Xu , S., Turkbey, E.B., Turkbey EB, Roth , H., Xu , Z., Yang , D., Myronenko , A., Anderson , V., Amalou , A., Blain , M., Kassin , M., Long , D., Varble , N., Walker , S.M.SM, Bagci , U., Ierardi AM, A.M., Stellato , E., Plensich GG, G.G., Franceschelli , G., Girlando , C., Irmici , G., Labella , D., Hammoud , D., Malayeri , A., Jones , E., Summers, R.M.Summer, RM, Choyke PL, P.L., Xu , D., Flores , M., Tamura , K., Obinata , H., Mori , H., Patella , F., Cariati , M., Carrafiello , G., An , P., Wood , B.J.BJ, Turkbey , B.(2020). Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. Nature Communications. DOI: https://doi.org/10.1038/s41467-020-17971-2. |