Fig. 5From: A deep adversarial model for segmentation-assisted COVID-19 diagnosis using CT imagesVisual comparison of infection segmentation in detail. Columns 1–4: CT image, segmentation results by Mask-RCNN, segmentation results by our method, and ground truth. Mask-RCNN has a good segmentation effect on coherent graphic areas. But it joins small incoherent areas together, resulting in detail lost phenomena. The proposed method makes detailed detection and gets good segmentation results in terms of incoherent regionBack to article page