MN staging classification on MN staging dataset benchmark leaderboard · SOTA2 Research

MN staging classification on MN staging dataset

72.69AccuracyCMUS-Net

Evaluation Results

Method	Links
CMUS-Net2025.12		72.69	88.29	74.17	69.21	84.6	69.61	—
DenseNet-1212025.12		68.08	81.44	66.34	66.63	68.12	65.4	0.001
VGG162025.12		65.78	80.8	72.6	62.57	65.16	65.95	0.002
CrossViT2025.12		65.77	82.45	65.99	59.38	70.83	60.01	0.007
Res2Net-502025.12		63.46	79.13	62.69	61.02	58.45	59.92	0.003
MDL-IIA2025.12		61.15	77.03	63.87	53.8	57.86	52.71	0
SwinT-B2025.12		60	79.55	58.13	55.2	68.4	54.77	0.001
MSAN2025.12		59.62	73.46	55.54	55.7	70.76	52.71	0.001
mmFormer2025.12		56.92	67.8	48.34	50.42	88.68	47.53	0
InceptionV32025.12		55.77	64.49	47.11	42.03	53.4	36.22	0
ResNet-502025.12		55.38	68.83	44.28	44.33	56.63	39.02	0
CrossFormer++2025.12		54.23	67.07	42.36	45.83	70.33	42.61	0
ViT-B2025.12		52.69	69.92	51	49.34	64.38	47.37	0
AGGN2025.12		52.5	64.07	37.08	39.6	65.63	34.01	0
FPN2025.12		50	57.94	36.45	37.25	54.44	33.16	0
HiFuse2025.12		42.31	69.72	36.78	40.89	66.65	31.6	0
MMGL2025.12		35.66	47.07	19.81	28.87	66.09	21.33	0