Table 7 Quantitative results of the ISIC 2018 dataset. (bold indicates the best)

From: Visual Mamba UNet fusion multi-scale attention and detail infusion for unsound corn kernels segmentation

Model

year

mIoU

mDSC

Acc

Spe

Sen

Pre

Unet2

2015

0.661

0.786

0.709

0.723

0.711

0.792

UnetV247

2018

0.646

0.794

0.761

0.721

0.713

0.775

Unet++4

2019

0.681

0.812

0.741

0.716

0.714

0.763

Att-Unet48

2018

0.693

0.813

0.793

0.734

0.723

0.782

TransUNet54

2021

0.702

0.815

0.816

0.757

0.733

0.787

TransFuse55

2021

0.706

0.818

0.852

0.775

0.742

0.784

Swin-Unet56

2021

0.721

0.821

0.831

0.782

0.751

0.789

DoubleU-Net37

2020

0.735

0.836

0.852

0.796

0.765

0.802

VMUNet52

2024

0.745

0.845

0.864

0.805

0.831

0.823

VMUNetV253

2024

0.785

0.875

0.878

0.831

0.815

0.834

VMUnet-MSADI

 

0.793

0.879

0.895

0.878

0.823

0.852