Table 3.

Analysis of the lung segmentation results in the terms of the dice score and the IoU score using the MCCXR dataset.

Methods	Dice	IoU
Fuzzy C-mean60	0.9580	0.9350
Atlas-based NR12	0.9600	0.9410
Deformation-tolerant61	0.9230	0.8620
Adaptive scan53	0.9592	0.9216
U-NET22	0.9547	0.9256
SegNet52	0.8418	0.8914
Linknet50	0.9687	0.9397
PSPNet51	0.3889	0.2443
DED-CNN	0.9767	0.9548

The bolded values demonstrate that the proposed approach performed better in terms of the metric presented in each column.