Table 2 Comparison of WSI classification between CAMCSA and other methods on the TCGA Lung Cancer dataset. CAMCSA/without CSA denotes the experimental results of CAMCSA on TCGA Lung Cancer before introducing the CSA module.

From: Cross-slide augmentation for whole slide image classification based on class activation map

Methods

TCGA Lung Cancer

ACC

AUC

Mean pooling

0.8677

0.9089

Max pooling

0.8254

0.8897

ABMIL

0.8831

0.9235

DSMIL

0.8998

0.9352

TransMIL

0.8895

0.9278

DTFD-MIL

0.8979

0.9388

MHIM-MIL

0.8998

0.9536

CAMCSA/without CAM and CSA

0.8879

0.9315

CAMCSA/without CAM

0.8971

0.9478

CAMCSA/without CSA

0.9131

0.9618

CAMCSA

0.9209

0.9724