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. 2020 Aug 6;56(2):2000775. doi: 10.1183/13993003.00775-2020

FIGURE 1.

FIGURE 1

Datasets used in this study. A total of 5372 patients with computed tomography (CT) images from seven cities or provinces were enrolled in this study. The auxiliary training set included 4106 patients with lung cancer and epidermal growth factor receptor (EGFR) gene mutation status information, and is used to pre-train the COVID-19Net to learn lung features from CT images. The training set includes 709 patients from Wuhan city and Henan province. The external validation set 1 (226 patients) from Anhui province, and the external validation set 2 (161 patients) from Heilongjiang province are used to assess the diagnostic performance of the deep learning (DL) system. The external validation set 3 (53 patients with COVID-19) from Beijing, and the external validation set 4 (117 patients with COVID-19) from Huangshi city are used to evaluate the prognostic performance of the DL system.