Fig. 2
From: A deep adversarial model for segmentation-assisted COVID-19 diagnosis using CT images
The radiologist-like segmentation (RLS) network has three SSN modules, which segment different infection areas (ground-glass, consolidation, and pleural effusion, respectively). After parallel training, each SSN can separate different classes of the mask. Through compositing the segmentation results into one image, we can achieve the prediction of radiologist-like annotation in infectious areas