_images/trident_crop.jpg

Welcome to TRIDENT!

TRIDENT is a scalable toolkit for large-scale whole-slide image (WSI) processing, developed at the Mahmood Lab at Harvard Medical School and Brigham and Women’s Hospital.

πŸš€ What TRIDENT offers:

  • Tissue vs. background segmentation for H&E, IHC, special stains, and artifact removal

  • Patch-level feature extraction using 20+ foundation models

  • Slide-level feature extraction via 5+ pretrained model backbones

  • Native support for OpenSlide, CuCIM, and PIL-compatible formats

Explore the end-to-end pipeline, from segmentation to slide-level representation β€” all powered by the latest foundation models for computational pathology.

β€”

πŸ“š Contents

Note

πŸ§ͺ This project is supported by NIH NIGMS R35GM138216 and is under active development by the Mahmood Lab.