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Medical Image Segmentation on LGG (test)

99.81AccuracyLM-Net
99.674899.709999.74599.7801Jan 7, 2025

Evaluation results

MethodLinks
LM-Net2025.0199.8190.5591.5895.4891.70.362.67
Unet++2025.0199.890.8391.0795.4391.60.36-0.23
R50-TransUnetBackbone=ResNet-502025.0199.890.8490.7595.3591.470.39-0.44
UCTransNet2025.0199.890.3491.5195.4191.580.391.71
Deeplabv3+2025.0199.890.4391.6395.4691.670.411.68
Unet2025.0199.7989.3391.4295.1391.10.481.7
Att Unet2025.0199.7990.0791.0695.2391.270.58-3.66
Trans Unet2025.0199.7990.7789.9395.1291.090.37-0.97
ResUnet++2025.0199.7889.8789.7494.8490.630.331.4
FCN2025.0199.7788.6990.6994.7890.530.372.38
ResUnet2025.0199.758987.7694.1289.460.46-1.4
Swin-Unet2025.0199.6887.0882.7192.3486.670.74-5.15