Table 1 Quantitative results of pulmonary nodule segmentation in which highlighted values represent the best result of each metric

ENet

0.9895

0.8787

0.9032

0.8960

0.8908

SegNet

0.9873

0.8914

0.8852

0.8906

0.8859

PSPNet

0.9888

0.8742

0.8936

0.8900

0.8838

DeeplabV3+

0.9923

0.9168

0.9241

0.9222

0.9204

UNet++

0.9918

0.9150

0.9285

0.9263

0.9227

Fast SCNN

0.9859

0.8130

0.8978

0.8605

0.8477

DFANet

0.9874

0.8208

0.9115

0.8716

0.8612

FANet

0.9901

0.9012

0.9127

0.9049

0.8934

SPNet

0.9931

0.9165

0.9117

0.9106

0.9096

Ours

0.9937

0.9377

0.9427

0.9378

0.9373