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Multi-disease Classification on multi-disease classification dataset

95.37AccuracyCMUS-Net
39.324453.874768.42582.9753Dec 17, 2025

Evaluation results

MethodLinks
CMUS-NetTypes=Cross-modal scale2025.1295.3799.0595.2995.5297.7895.32—
SwinT-BTypes=Unimodal multi-scale2025.1291.397.7791.3391.5995.891.21—
VGG16Types=Unimodal2025.1290.9397.8390.8791.1595.5790.86—
Res2Net-50Types=Unimodal multi-scale2025.1290.7497.0990.790.838590.59—
DenseNet-121Types=Unimodal2025.1290.3797.6490.3290.4689.8490.27—
CrossViTTypes=Unimodal multi-scale2025.1289.6397.5889.6989.8191.689.55—
ResNet-50Types=Unimodal2025.1276.8594.1781.4776.6788.3376.16—
ViT-BTypes=Unimodal2025.1271.4886.8671.871.4985.7471.35—
CrossFormer++Types=Unimodal multi-scale2025.1263.779.6465.3964.5382.2662.9—
FPNTypes=Unimodal multi-scale2025.1242.4169.3751.3341.3549.4234.41—
InceptionV3Types=Unimodal multi-scale2025.1241.6763.9540.1142.6171.3134.85—
HiFuseTypes=Unimodal multi-scale2025.1241.4875.4939.5542.6760.0131.1—
AGGNType=Multi-modal multi-scale2025.12——————0
MDL-IIAType=Multi-modal2025.12——————0
mmFormerType=Multi-modal2025.12——————0
MMGLType=Multi-modal2025.12——————0
MSANType=Multi-modal multi-scale2025.12——————0.003