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Medical Image Segmentation on ISIC 2017 (test)

90.07DiceTopoMamba-2D
81.781283.933186.08588.2369Feb 16, 2021Jan 7, 2022Nov 29, 2022Oct 21, 2023Sep 10, 2024Aug 2, 2025Jun 24, 2026

Evaluation results

MethodLinks
TopoMamba-2DParam(M)=23.92026.0490.0781.13—98.72
Swin-UMambaParam(M)=27.62026.0489.680.68—96.77
VM-UNetParam(M)=31.02026.0489.0380.23—97.58
U-MambaParam(M)=23.422026.0488.6579.03—95.89
Mamba-UNetParam(M)=19.12026.0488.5778.02—96.01
TransFuseLayer attention=×, Params(M)=26.16, FLOPs(G)=11.502026.0688.479.21——
DLA-L-UNetLayer attention=✓, Params(M)=1.57, FLOPs(G)=3.502026.0688.2478.96——
MALUNetLayer attention=×, Params(M)=0.18, FLOPs(G)=0.092026.0688.1378.78——
KCLA-UNetLayer attention=✓, Params(M)=1.55, FLOPs(G)=3.492026.0688.0978.71——
MRLA-L-UNetLayer attention=✓, Params(M)=1.54, FLOPs(G)=3.482026.0688.0678.67——
SLSDeepBackbones=ResNet-50, Epochs=1002021.0287.878.293.6—
UNeXt-SLayer attention=×, Params(M)=0.32, FLOPs(G)=0.102026.0687.878.26——
UTNetV2Layer attention=×, Params(M)=12.80, FLOPs(G)=15.502026.0687.2377.35——
TransFuse-SBackbones=R34+DeiT-S, Epochs=302021.0287.279.594.4—
FrCNBackbones=VGG16, Epochs=2002021.0287.177.194—
UNetLayer attention=×, Params(M)=7.77, FLOPs(G)=13.762026.0686.9976.98——
ResNet-UNetLayer attention=×, Params(M)=1.53, FLOPs(G)=3.452026.0686.8976.82——
DDNBackbones=ResNet-18, Epochs=6002021.0286.676.593.9—
ResGANetParams=39.21 M, GFLOPs=65.12023.0786.276.4——
PVT-EMCAD-B2#Params=26.76M, #FLOPs=5.6G, Resolution=256x2562024.0585.95———
SwinUNetParam(M)=27.22026.0485.8378.53—95.72
Unet++Backbones=ResNet-34, Epochs=102021.0285.877.593.8—
DCL-PSIBackbones=ResNet-101, Epochs=1502021.0285.777.794.1—
PVT-EMCAD-B0#Params=3.92M, #FLOPs=0.84G, Resolution=256x2562024.0585.67———
SegNetrParams=12.26 M, GFLOPs=10.182023.0785.677.5——
PolypPVT#Params=25.11M, #FLOPs=5.30G, Resolution=256x2562024.0585.56———
PVT-CASCADE#Params=34.12M, #FLOPs=7.62G, Resolution=256x2562024.0585.5———
SSFormer-L#Params=66.22M, #FLOPs=17.28G, Resolution=256x2562024.0585.28———
CaraNet#Params=46.64M, #FLOPs=11.48G, Resolution=256x2562024.0585.02———
FAT-NetParams=28.23 M, GFLOPs=42.832023.078576.5——
Swin-UNetParams=25.86 M, GFLOPs=5.862023.078576.7——
TransUNet#Params=105.32M, #FLOPs=38.52G, Resolution=256x2562024.0585———
CDNN2021.0284.976.593.4—
TransFuse#Params=143.74M, #FLOPs=82.71G, Resolution=256x2562024.0584.89———
TransUNetParams=88.87 M, GFLOPs=24.632023.0784.777.5——
UNetParam(M)=31.02026.0484.4173.91—95.18
nnU-Net2023.0784.376——
UNet++Params=25.66 M, GFLOPs=28.772023.078475.3——
UNeXt-LParams=3.80 M, GFLOPs=1.082023.078475.4——
SwinUNet#Params=27.17M, #FLOPs=6.2G, Resolution=224x2242024.0583.97———
DeepLabv3+#Params=39.76M, #FLOPs=14.92G, Resolution=256x2562024.0583.84———
SegNetr-SParams=3.60 M, GFLOPs=2.712023.0783.875.2——
UACANet-L#Params=69.16M, #FLOPs=31.51G, Resolution=256x2562024.0583.72———
AttnUNet#Params=34.88M, #FLOPs=66.64G, Resolution=256x2562024.0583.66———
UNet#Params=24.53M, #FLOPs=65.53G, Resolution=256x2562024.0583.07———
PraNet#Params=32.55M, #FLOPs=6.93G, Resolution=256x2562024.0583.03———
UNet++#Params=9.16M, #FLOPs=34.65G, Resolution=256x2562024.0582.98———
UNeXt#Params=1.47M, #FLOPs=0.57G, Resolution=256x2562024.0582.74———
U-NetParams=29.59 M, GFLOPs=41.832023.0782.573.6——
SegNetParams=17.94 M, GFLOPs=22.352023.0782.169.6——