From: COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
Net. | Class | Sens. | Spec. | Dice. | G-mean | F2 |
---|---|---|---|---|---|---|
SegNet | \({\hbox {C}}_1\) | 0.638 | .0.952 | 0.479 | 0.780 | 0.562 |
\({\hbox {C}}_2\) | 0.672 | 0.965 | 0.454 | 0.806 | 0.564 | |
\({\hbox {C}}_3\) | 0.574 | 0.988 | 0.121 | 0.753 | 0.231 | |
U-NET | \({\hbox {C}}_1\) | 0.804 | 0.930 | 0.483 | 0.865 | .0.636 |
\({\hbox {C}}_2\) | 0.694 | 0.983 | 0.597 | 0.826 | 0.652 | |
\({\hbox {C}}_3\) | 0.684 | 0.993 | 0.225 | 0.824 | 0.377 |