Transport-based morphometry of nuclear structures of digital pathology images in cancers

no code implementations • 2 Feb 2023 • Mohammad Shifat E Rabbi, Natasha Ironside, John A Ozolek, Rajendra Singh, Liron Pantanowitz, Gustavo K Rohde

We demonstrate the model is robust to different staining patterns and imaging protocols, and can be used to discover meaningful and interpretable information within and across datasets and cancer types.

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

1 code implementation • 21 Sep 2020 • Ming Y. Lu, Dehan Kong, Jana Lipkova, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood

In this paper, we introduce privacy-preserving federated learning for gigapixel whole slide images in computational pathology using weakly-supervised attention multiple instance learning and differential privacy.

Federated Learning Multiple Instance Learning +4