Table 1 Comparison of predictive indicators of individual models.

From: Enhanced digital pathology image recognition via multi-attention mechanisms: the MACC-Net approach

Model

Accuracy

Precision

Recall

F1-score

IOU

DSC

U-Net41

0.968

0.881

0.889

0.783

0.651

0.783

Att-Unet42

0.976

0.841

0.901

0.825

0.707

0.825

SegNet43

0.968

0.898

0.887

0.783

0.652

0.783

UTNet44

0.971

0.823

0.835

0.781

0.649

0.781

CE-Net45

0.945

0.741

0.832

0.739

0.662

0.739

TransUnet46

0.973

0.817

0.929

0.809

0.684

0.809

Swin-Unet47

0.976

0.856

0.923

0.822

0.702

0.822

ResUnet48

0.972

0.878

0.916

0.826

0.709

0.826

ChannelNet49

0.979

0.901

0.921

0.841

0.718

0.841

MACC-Net (our)

0.981

0.907

0.931

0.847

0.728

0.847