Medical Image Segmentation on LGG (test) benchmark leaderboard · SOTA2 Research

Medical Image Segmentation on LGG (test)

99.81AccuracyLM-Net

Evaluation Results

Method	Links
LM-Net2025.01		99.81	90.55	91.58	95.48	91.7	0.36	2.67
Unet++2025.01		99.8	90.83	91.07	95.43	91.6	0.36	-0.23
R50-TransUnet2025.01		99.8	90.84	90.75	95.35	91.47	0.39	-0.44
UCTransNet2025.01		99.8	90.34	91.51	95.41	91.58	0.39	1.71
Deeplabv3+2025.01		99.8	90.43	91.63	95.46	91.67	0.41	1.68
Unet2025.01		99.79	89.33	91.42	95.13	91.1	0.48	1.7
Att Unet2025.01		99.79	90.07	91.06	95.23	91.27	0.58	-3.66
Trans Unet2025.01		99.79	90.77	89.93	95.12	91.09	0.37	-0.97
ResUnet++2025.01		99.78	89.87	89.74	94.84	90.63	0.33	1.4
FCN2025.01		99.77	88.69	90.69	94.78	90.53	0.37	2.38
ResUnet2025.01		99.75	89	87.76	94.12	89.46	0.46	-1.4
Swin-Unet2025.01		99.68	87.08	82.71	92.34	86.67	0.74	-5.15