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Medical Image Segmentation on BUSI (test)

91.47DicePhi-SegNet
72.146877.163482.1887.1966Mar 20, 2023Oct 6, 2023Apr 23, 2024Nov 9, 2024May 28, 2025Dec 14, 2025Jul 2, 2026

Evaluation results

MethodLinks
Phi-SegNet2026.0191.4784.5491.98—92.991.08—98.06——1.4999——
Residual-SwinCA-NetMethod Category=Proposed2025.1290.4196.74—————99.111—————
Residual-Swin-NetMethod Category=Proposed2025.1288.9495.21—————99.92—————
Twin-SegNet2026.0188.6281.4589.17—87.6590.75—97.51——1.8523——
CE-Net2026.0187.9982.1790.66—89.6491.71—97.65——1.8718——
ResUNet++2026.0187.6478.8188.47—87.1989.79—96.88——2.1816——
MambaLiteUNet2026.0487.4477.68—11.55—85.5399.5198.88—————
CPFNet2026.0187.3880.7487.2—88.4190.18—97.27——2.0494——
Y-Net2026.0186.0377.2187.52—87.5387.53—96.29——2.3571——
MEW-UNet2026.0185.9980.5990.16—89.3991.01—97.42——1.9447——
AAU-Net2026.0185.779.388.38—87.6889.11—96.57——2.2345——
PraNet2026.0185.1278.1988.45—85.7691.32—97.04——2.3526——
TransAttUNet2026.0184.876.2787.12—85.0389.32—96.28——2.6033——
C2SDG2026.0484.4773.11—13.32—83.399.3398.59—————
S2M-NetLoss=MASL2026.0184.34————————————
UNet++2026.0184.2676.1486.62—89.3484.02—96.43——2.6828——
UNeXt-S2026.0483.872.11—15.88—83.6799.2398.51—————
VM-UNet2026.0483.7472.02—15.29—91.1198.7298.37—————
BMFNetMethod Category=CNN2025.1283.4771.13—————96.81—————
LightM-UNet2026.0483.3471.44—15.37—76.3299.6798.59—————
ULVM-UNet2026.0482.4970.19—15.23—76.9799.5398.49—————
TransFuse2026.0482.4670.16—18.46—79.6899.3498.44—————
U-NetVenue=MICCAI, Labeled=517 (100%), Unlabeled=02026.0381.6873.74—————96.65—————
UTNetV22026.0481.468.63—25.15—86.8198.7298.17—————
Prior-Aware Pseudo-LabelingPartition Protocol=1/22025.0380.4172.02———————————
U-KABSParams(M)=9.54, FLOPS(G)=6.922026.0280.3767.98—5.67—————————
MALUNet2026.0480.3767.19—22.75—76.1999.3598.29—————
U-Net2026.0480.2667.03—22.72—90.4698.3197.95—————
PVT-EMCAD-B2#Params=26.76M, #FLOPs=5.6G, Resolution=256x2562024.0580.25————————————
AAU-NetMethod Category=CNN2025.1280.2369.12—————96.69—————
UDTransNetMethod Category=Hybrid CNN-ViT2025.1280.1968.13—————96.77—————
ResU-KANParams(M)=20.06, FLOPS(G)=8.572026.0279.9267.74—10.74—————————
PVT-EMCAD-B0#Params=3.92M, #FLOPs=0.84G, Resolution=256x2562024.0579.8————————————
Prior-Aware Pseudo-LabelingPartition Protocol=1/42025.0379.4371.17———————————
EGE-UNet2026.0479.3865.81—19.29—68.9599.7798.35—————
TransFuse#Params=143.74M, #FLOPs=82.71G, Resolution=256x2562024.0579.36————————————
PolypPVT#Params=25.11M, #FLOPs=5.30G, Resolution=256x2562024.0579.35————————————
PVT-CASCADE#Params=34.12M, #FLOPs=7.62G, Resolution=256x2562024.0579.21————————————
M2SNetBackbone=R2-502023.0379.2171.52——8479.9798.35——————
S2M-NetLoss=standard Dice loss2026.0179.07————————————
TransUNetBackbone=R-50 + ViT-B162023.037971.47——81.6680.7898.05——————
SSFormer-L#Params=66.22M, #FLOPs=17.28G, Resolution=256x2562024.0578.76————————————
APPGLabeled=103 (20%), Unlabeled=414 (80%)2026.0378.3869.12—————95.93—————
TransUNet#Params=105.32M, #FLOPs=38.52G, Resolution=256x2562024.0578.3————————————
UCTransNetMethod Category=Hybrid CNN-ViT2025.1278.28——————96.31—————
MSNetBackbone=R2-502023.0378.1870.57——82.7378.598.29——————
MultiResNetMethod Category=Hybrid CNN-ViT2025.1277.98——————96.67—————
UMambaLoss=MASL2026.0177.92————————————
LB-UNet2026.0477.8663.75—14.49—71.0799.4598.14—————
NU-NetBackbone=Deeper U-Net, medicine-specific=true2023.0377.7968.86——78.982.4897.79——————
SemiMedSegPartition Protocol=1/42025.0377.7369.05———————————
TransUNetMethod Category=Hybrid CNN-ViT2025.1277.53——————96.42—————
APPGLabeled=51 (10%), Unlabeled=466 (90%)2026.0377.468.5—————95.71—————
SwinUNet#Params=27.17M, #FLOPs=6.2G, Resolution=224x2242024.0577.38————————————
CaraNet#Params=46.64M, #FLOPs=11.48G, Resolution=256x2562024.0577.34————————————
DuckNetLoss=MASL2026.0177.12————————————
UNetPartition Protocol=1/22025.0377.0670.88———————————
SemiMedSegPartition Protocol=1/22025.0377.0368.71———————————
UNetPartition Protocol=1/42025.0377.0167.6———————————
UACANet-L#Params=69.16M, #FLOPs=31.51G, Resolution=256x2562024.0576.96————————————
DeepLabv3+#Params=39.76M, #FLOPs=14.92G, Resolution=256x2562024.0576.81————————————
SwinUNetLoss=MASL2026.0176.78————————————
FCNMethod Category=CNN2025.1276.76——————95.65—————
U-KANParams(M)=9.38, FLOPS(G)=6.892026.0276.4263.38—7.19—————————
RadiomicNetParams (M)=3.272026.0776.366.2——76.284.5———————
TransUNetLoss=MASL2026.0176.23————————————
UNet2026.0176.1865.8379.58—82.7576.66—94.85——4.0041——
Proposed entropy-guided boundary model2026.067669.3—————96.1———0.02790.0095
U-Net++Loss=MASL2026.0175.89————————————
UMambaLoss=standard Dice loss2026.0175.87————————————
TPFIANet2026.0275.8466.2———————————
Attention UNetMethod Category=CNN2025.1275.83——————96.54—————
Text-semisegVenue=MICCAI’25, Labeled=103 (20%), Unlabeled=414 (80%)2026.0375.8367.25—————95.92—————
WDFFU-MambaParams=5.65M2025.1275.7365.08—53.3471.4691.1698.28——————
UNeXtParams(M)=1.47, FLOPS(G)=4.582026.0275.5261.78—8.33—————————
RAPUNetLoss=MASL2026.0175.34————————————
DuckNetLoss=standard Dice loss2026.0175.23————————————
Prior-Aware Pseudo-LabelingPartition Protocol=1/82025.0375.1966.9———————————
VM-UNetParams=22.04M2025.1275.1666.84—28.3378.5874.8499.27——————
PraNet#Params=32.55M, #FLOPs=6.93G, Resolution=256x2562024.0575.14————————————
U-KANParams (M)=14.02026.0775.164.5———————————
Text-semisegVenue=MICCAI’25, Labeled=51 (10%), Unlabeled=466 (90%)2026.0375.0665.88—————95.46—————
SwinUNetLoss=standard Dice loss2026.0174.92————————————
TransUNetParams (M)=93.02026.0774.864.1———————————
UNet++#Params=9.16M, #FLOPs=34.65G, Resolution=256x2562024.0574.76————————————
UNeXt#Params=1.47M, #FLOPs=0.57G, Resolution=256x2562024.0574.71————————————
Rolling-UnetParams(M)=25.32, FLOPS(G)=28.322026.0274.6761—6.19—————————
PraNetLoss=MASL2026.0174.67————————————
AttnUNet#Params=34.88M, #FLOPs=66.64G, Resolution=256x2562024.0574.48————————————
U-NetLoss=MASL2026.0174.45————————————
TransUNetLoss=standard Dice loss2026.0174.45————————————
UTNetBackbone=R-50 + ViT-B162023.0374.4167.46——79.8874.8298.37——————
DAU-NetMethod Category=CNN2025.1274.23——————96.21—————
UNet#Params=24.53M, #FLOPs=65.53G, Resolution=256x2562024.0574.04————————————
SKU-NetBackbone=SKs, medicine-specific=true2023.0374.0364.48——75.3778.5697.21——————
UNet++Params (M)=9.02026.077463.4———————————
MTVenue=NeurIPS’17, Labeled=103 (20%), Unlabeled=414 (80%)2026.0373.664.27—————95.68—————
MCFVenue=CVPR’23, Labeled=103 (20%), Unlabeled=414 (80%)2026.0373.2363.83—————95.58—————
U-Net++Loss=standard Dice loss2026.0173.21————————————
RAPUNetLoss=standard Dice loss2026.0172.89————————————