Fig. 1.

The workflow of the proposed approach for lung segmentation and COVID-19 detection. A thresholding method was applied to generate the shape prior of the pulmonary parenchyma; the combination of the original image and shape prior was input to the proposed shape prior V-Net segmentation model (SP-V-Net). Statistical analyses were applied to the radiomic features extracted from the segmentation results to discover the statistically significant features and build the prediction model for COVID-19 detection.