mahmoodlab/TRIDENT

Toolkit for large-scale whole-slide image processing.

ratschlab/DeepSpotM

Multimodal foundation model predicting transcriptome-wide virtual spatial transcriptomics from…

MICS-Lab/thunder

[NeurIPS25 D&B Spotlight] A tile-level histopathology image understanding benchmark

AmayaGS/BioX-CPath

A biologically interpretable graph neural network for multistain computational pathology - CVPR 2025

ZeyuGaoAi/CLAM_PreProcessing

CLAM-based preprocessing with more fundation models

mahmoodlab/TRIDENT

Toolkit for large-scale whole-slide image processing.

mahmoodlab/HEST

Integrating histology and spatial transcriptomics - NeurIPS 2024

AtlasAnalyticsLab/AtlasPatch

AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing

birkhoffkiki/PrePATH

PrePATH: A parallel toolkit for Preprocessing WSI

MICS-Lab/thunder

[NeurIPS25 D&B Spotlight] A tile-level histopathology image understanding benchmark

lingxitong/PFM_Segmentation

Pathology Foundation Models Meet Semantic Segmentation

WonderLandxD/PIANO

An easy-to-use PyTorch library for Pathology Image ANalysis Orchestrator (PIANO), including…

kaiko-ai/Midnight

Midnight - Pathology foundation models trained on orders of magnitude fewer WSIs

Sbrussee/PathBench-MIL

PathBench-MIL: A comprehensive, flexible Benchmarking / AutoML framework for multiple instance…

lingxitong/HistoROIBench

Pathology ROI Datasets BenchMarking Framework For Pathology Foundation Models

pathology-data-mining/Mussel

Computational pathology toolkit: tiling, feature extraction, and annotation for whole-slide images…

DELTA-TJ-submission/PASTA

A plug-and-play foundation model paradigm for gigapixel virual tissue phenotyping

ZeyuGaoAi/CLAM_PreProcessing

CLAM-based preprocessing with more fundation models

IUCompPath/aegis

Multiple Instance Learning framework for multi-modal classification with histopathology data