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Medical Image Segmentation on BUSI

91.1Dice ScoreMedSAM
74.25278.6268387.374Aug 4, 2023Jan 23, 2024Jul 13, 2024Jan 2, 2025Jun 23, 2025Dec 12, 2025Jun 3, 2026

Evaluation results

MethodLinks
MedSAMprompt=bounding box, aggregation=mean ± std across degradation types2026.0491.184———
MedSAMZero-shot=true2025.0890.6————
BayesMedSAMZero-shot=true, Uncertainty Estimation=T-VBI2025.0890.5————
E-BayesSAMZero-shot=true, Uncertainty Estimation=T-VBI, Architecture=SO-KAN2025.0890.5————
Pruned E-BayesSAMZero-shot=true, Uncertainty Estimation=T-VBI, Architecture=SO-KAN, Pruning=Applied2025.0890.2————
MedSAM + BoxPrompt Type=Box Predictor2026.0689.0481.24—91.7688.14
MedSAM + Box + PtPrompt Type=Box Predictor + point2026.0688.9381.05—90.4389.11
MedSAM + pointPrompt Type=point2026.0687.7179.36—89.4588.43
SAM2.1 + pointPrompt Type=point2026.0687.779.08—84.6292.64
MedCLIPSegdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0285.72————
SAM2UNetPrompt Type=Automatic2026.0685.2577.03—89.7583.44
Hybrid-MT-ESTANLearning Paradigm=Multi-task learning, Backbone=SwinTransformer_V2_Base_256, Attention Module=AAA blocks2023.0884.175.7———
MedSAM2 + pointPrompt Type=point2026.0683.6973.33—85.0785.37
SAM + pointPrompt Type=point2026.0682.4772.1—86.1483
U-RWKVparams=2.97, FLOPs=7.282025.0782.34————
Swin-UMambaType=Mamba, Source=MICCAI’24, Params=55.06 M2025.0682.2473.34———
CMU-Netparams=49.93, FLOPs=91.252025.0781.92————
RWKV-UNetParams.=17.13M, FLOPS=14.50G2025.0181.92————
RWKV-UNetParams.=17.13M, FLOPS=14.50G2025.0181.92————
MedTparams=1.37, FLOPs=2.412025.0781.86————
CAT-Segdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0281.83————
CMUNeXtparams=3.14, FLOPs=7.412025.0781.66————
CLIPSegdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0280.95————
RWKV-UNet-SParams.=9.70M, FLOPS=7.64G2025.0180.92————
RWKV-UNet-SParams.=9.70M, FLOPS=7.64G2025.0180.92————
VLSM-Adapterdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0280.9————
Med-URWKV†Type=RWKV, Source=Ours, Params=24.41 M2025.0680.972.42———
Robust MedSAMprompt=bounding box, aggregation=mean ± std across degradation types2026.0480.770.1———
FCBFormerParams.=51.96M, FLOPS=41.22G2025.0180.66————
FCBFormerParams.=51.96M, FLOPS=41.22G2025.0180.66————
PVT-GDLA2026.0380.54————
MaPLe + Decoderdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0280.49————
UNeXtparams=1.47, FLOPs=0.572025.0780.47————
ConvNeXt-FD2026.0580.4————
ConvUNeXtparams=3.51, FLOPs=7.252025.0780.37————
PVT-EMCAD-B2Backbone=PVT-B22026.0380.25————
UltraSAM2026.0580.22————
DCCE-UNet2026.0579.85————
PVT-DiffAttn2026.0379.84————
U-RWKV-sparams=0.46, FLOPs=1.022025.0779.77————
Rich-U-Net2026.0379.7766.74.4564——
TransUnetparams=93.23, FLOPs=32.232025.0779.61————
Att-UNetparams=4.91, FLOPs=9.452025.0779.61————
U-Netparams=34.53, FLOPs=65.522025.0779.58————
RWKV-UNet-TParams.=3.15M, FLOPS=3.70G2025.0179.47————
RWKV-UNet-TParams.=3.15M, FLOPS=3.70G2025.0179.47————
PVT-SelfAttn2026.0379.42————
TransFuse2026.0379.36————
EMCAD2026.0379.3666.335.6712——
TransUNetParams.=105.3M, FLOPS=33.42G2025.0179.35————
TransUNetParams.=105.3M, FLOPS=33.42G2025.0179.35————
PVT-EMCAD-B2Params.=26.76M, FLOPS=5.64G2025.0179.22————
PVT-EMCAD-B2Params.=26.76M, FLOPS=5.64G2025.0179.22————
PVT-LinearAttn2026.0379.14————
DBUNet2026.0579.11————
Yang et al.2026.0578.98————
UNeXt2026.0378.5565.527.3421——
R50-UNetParams.=28.78M, FLOPS=9.72G2025.0178.46————
R50-UNetParams.=28.78M, FLOPS=9.72G2025.0178.46————
Med-URWKV-SType=RWKV, Source=Ours, Params=53.07 M2025.0678.4669.63———
PVT-EMCAD-b1Type=CNN, Source=CVPR’24, Params=15.41 M2025.0678.4369.62———
PVT-CASCADEParams.=35.27M, FLOPS=8.20G2025.0178.3————
PVT-CASCADEParams.=35.27M, FLOPS=8.20G2025.0178.3————
TransUNet2026.0378.3————
MT-ESTANLearning Paradigm=Multi-task learning2023.0878.269.3———
Att-UNetParams.=8.73M, FLOPS=16.78G2025.0178.14————
Att-UNetParams.=8.73M, FLOPS=16.78G2025.0178.14————
SANdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0277.99————
Trans-U-Net2026.0377.8464.179.1539——
SAMprompt=bounding box, aggregation=mean ± std across degradation types2026.0477.868.3———
Med-URWKV-TType=RWKV, Source=Ours, Params=14.33 M2025.0677.5667.84———
Rolling-UNet-MParams.=7.10M, FLOPS=8.31G2025.0177.49————
Rolling-UNet-MParams.=7.10M, FLOPS=8.31G2025.0177.49————
TinyUnetparams=0.48, FLOPs=1.672025.0777.42————
Swin-UNet2026.0377.38————
CaraNet2026.0377.34————
UL-VM-UNet2026.0377.263.0610.4573——
RWKV-UNetType=RWKV, Source=Arxiv’25, Params=17.40 M2025.0677.1367.3———
ChowderyLearning Paradigm=Multi-task learning2023.087767.9———
U-KANParams.=25.36M, FLOPS=8.08G2025.0176.95————
U-KANParams.=25.36M, FLOPS=8.08G2025.0176.95————
DeepLabV3+Backbone=ResNet34 (64 channels)2026.0576.9————
MSA2026.0576.85————
DeepLabv3+2026.0376.81————
EMT-NetLearning Paradigm=Multi-task learning2023.0876.767———
SwinUnetparams=27.15, FLOPs=5.912025.0776.46————
TransUNetType=ViT, Source=Arxiv’21, Params=92.23 M2025.0676.4467.04———
ACC-UnetType=CNN, Source=MICCAI’23, Params=16.77 M2025.0676.4367.75———
PraNet2026.0376.3262.0912.2635——
CausalCLIPSegdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0276.11————
UNet++Params.=9.16M, FLOPS=34.71G2025.0175.74————
UNet++Params.=9.16M, FLOPS=34.71G2025.0175.74————
UCTransNetType=ViT, Source=AAAI’22, Params=66.24 M2025.0675.5166.34———
PraNet2026.0375.41————
nnU-NetConfiguration=MT + PR + DO2026.0575.4————
LViTdomain=source, Backbone=UniMedCLIP ViT-B/16, Text Encoder=PubMedBERT2026.0275.32————
FANet2026.0375.2161.2413.6782——
U-NetParams.=7.77M, FLOPS=12.16G2025.0174.9————
U-NetParams.=7.77M, FLOPS=12.16G2025.0174.9————
VGGA-ViTLearning Paradigm=Multi-task learning2023.0874.964.9———