Pathological Image Classification on LaC benchmark leaderboard · SOTA2 Research

Pathological Image Classification on LaC

99.99AccuracyUNI

Evaluation Results

Method	Links
UNI2026.04		99.99
GigaPath2026.04		99.99
Virchow22026.04		99.96
CONCH2026.04		99.88
SSMamba2026.04		99.84
MUSK2026.04		99.49
UNI22026.04		98.66
MAE2026.04		98.49
Swin2026.04		93.61
CTransPath2026.04		92.92
VMamba2026.04		92.13
ViT2026.04		92.11