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Brain Tumor Segmentation on BraTS 2021 (Model Efficiency and Inference)

1.43Parameters (M)U-RWKV
-2.595224.574951.74578.9151Sep 26, 2025

Evaluation results

MethodLinks
U-RWKVType=CNN-RWKV, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.091.4321.0883.15—
VeloxSeg-CType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.091.462.64536.625.23
Slim UNETRType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.091.786.5997.510.62
SuperLightNetType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.092.7519.5455.130.28
HCMA-UNetType=CNN-Mamba, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.092.8126.6953.72—
SegFormer-3DType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.094.535.42355.732.98
H-DenseFormerType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.095.3973.1895.610.42
MedNeXt-SType=CNN, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.095.5457.9527.750.06
UNetType=CNN, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.095.75138.14103.70.23
U-KANType=CNN-KAN, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.097.0623.69181.890.85
NestedformerType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.097.5288.4356.920.23
VSmTransType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.0912.4892.7236.180.13
Swin UNETRType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.0915.5185.5338.110.13
UNETR++Type=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.0919.9858.81153.630.52
VNetType=CNN, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.0945.61322.8563.370.14
A2FSegType=CNN, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.0974.55361.1828.920.08
UNETRType=CNN-Transformer, Patch Size=96 × 96 × 96, Modalities=4 (T1/T1ce/T2/FLAIR)2025.09102.0685.79128.160.41