Pathological Image Classification on PAIP 2019 (AUC) benchmark leaderboard · SOTA2 Research

Pathological Image Classification on PAIP 2019 (AUC)

97.19AUCSSMamba

Evaluation Results

Method	Links
SSMamba2026.04		97.19
Virchow22026.04		97.05
UNI2026.04		95.51
UNI22026.04		95.47
MUSK2026.04		94.71
GigaPath2026.04		94.25
CTransPath2026.04		88.43
VMamba2026.04		88.42
Swin2026.04		87.33
MAE2026.04		86.62
ViT2026.04		86.25
CONCH2026.04		83.85