Skip to content

Latest commit

 

History

History
21 lines (16 loc) · 670 Bytes

README.md

File metadata and controls

21 lines (16 loc) · 670 Bytes

PAM

Unleash the Power of State Space Model for Whole Slide Image with Local Aware Scanning and Importance Resampling

Model Structure

Hierarchical Feature Extraction

# Create regions with resolution of 4096x4096
python create_patches_fp.py

# Extract feature for regions (4096x4096) and patches (512x512)
python extract_features_fp.py

Training

bash scripts/train_pam.sh

Acknowledgements

The project was built on top of amazing repositories such as CLAM, VMamba. We thank the authors and developers for their contribution.