Comparative prediction results on the ISIC2017 dataset
Dataset
Models
Year
DSC↑
SE↑
SP↑
ACC↑
ISIC2017
U-Net*
2015
0.8989
0.8793
0.9812
0.9613
SCR-Net*
2021
0.8898
0.8497
0.9853
0.9588
C2SDG*
2021
0.8938
0.8859
0.9765
0.9588
ATTENTION SWIN U-NET*
2022
0.8859
0.8492
0.9847
0.9591
MALUNet*
2022
0.8896
0.8824
0.9762
0.9583
UNeXt-S#
2022
0.9017
0.8894
0.9806
0.9633
EGE-UNet*
2023
0.9073
0.8931
0.9816
0.9642
VM-UNet*
2024
0.9070
0.8837
0.9842
0.9645
VM-UNet v2*
2024
0.9045
0.8768
0.9849
0.9637
LightM-UNet*
2024
0.9080
0.8839
0.9846
0.9649
UltraLight VM-UNet*
2024
0.9091
0.9053
0.9790
0.9646
UltraLight VM-UNet#
2024
0.9097
0.9042
0.9804
0.9660
UCM-Net (Baseline)
2024
0.9120
0.8824
0.9877
0.9678
MUCM-Net (1-patch)
2024
0.9160
0.9090
0.9869
0.9689
MUCM-Net (2-patch)
2024
0.9126
0.9008
0.9829
0.9679
MUCM-Net (4-patch)
2024
0.9133
0.8871
0.9870
0.9681
MUCM-Net (8-patch)
2024
0.9185
0.9014
0.9857
0.9697
* the results cited from UltraLight VM-Net; # the results tested by us. ISIC: International Skin Imaging Collaboration; DSC: Dice Similarity Coefficient; SE: sensitivity; SP: specificity; ACC: accuracy. ↑: the higher the value, the better the performance
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