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ResearchFormerly WizWand

Medical Image Segmentation on Hecktor 2022

319.8ThrGVeloxSeg
11.33691.418171.5251.582Sep 26, 2025
Updated 4mo ago

Evaluation results

MethodLinks
VeloxSegType=CNN-Transformer, MP.=1.66, GF.=2.132025.09319.85.47
SegFormer-3DType=CNN-Transformer, MP.=4.50, GF.=6.062025.09305.012.67
U-KANType=CNN-KAN, MP.=7.06, GF.=27.132025.09159.920.75
Slim UNETRType=CNN-Transformer, MP.=1.77, GF.=4.532025.09151.858.78
UNETR++Type=CNN-Transformer, MP.=19.97, GF.=68.662025.09138.390.56
UNETRType=CNN-Transformer, MP.=95.76, GF.=99.092025.09105.780.35
H-DenseFormerType=CNN-Transformer, MP.=3.64, GF.=85.232025.09102.80.37
UNetType=CNN, MP.=5.75, GF.=161.842025.0985.60.19
NestedformerType=CNN-Transformer, MP.=4.71, GF.=69.482025.0979.050.35
U-RWKVType=CNN-RWKV, MP.=1.44, GF.=24.512025.0973.98—
VNetType=CNN, MP.=45.60, GF.=381.892025.0949.820.11
SuperLightNetType=CNN-Transformer, MP.=2.75, GF.=23.012025.0947.360.23
HCMA-UNetType=CNN-Mamba, MP.=2.81, GF.=31.002025.0946.48—
A2FSegType=CNN, MP.=41.32, GF.=246.482025.0940.60.13
VSmTransType=CNN-Transformer, MP.=3.12, GF.=28.792025.0934.130.16
Swin UNETRType=CNN-Transformer, MP.=15.51, GF.=100.662025.0928.580.1
MedNeXt-SType=CNN, MP.=5.54, GF.=68.542025.0923.20.05