Datasets:

AI4Pathology
/

ImmunoBench-image-features

license: apache-2.0
task_categories:
  - feature-extraction
language:
  - en
tags:
  - medical-imaging
  - computational-pathology
  - digital-pathology
  - immunohistochemistry
  - foundation-model
  - pan-cancer
  - feature-representation
  - pytorch
viewer: false

ImmunoBench Feature Representations

🔍 Overview

🤗 Dataset | 🌐 Homepage | 📄 Paper (coming soon) | 💻 Code

This repository provides pre-extracted feature representations from whole slide images (WSIs) from the ImmunoBench project, a large-scale benchmark designed for evaluating pathology foundation models in IHC-centered pathology workflows. ImmunoBench integrates data from 13,657 patients, 26,058 WSIs, 9,682,431 TMA-derived IHC images and 464,294 annotated patches, collected across 13 institutions, covering 27 organs, 43 clinical stains and 14,708 gene-encoded proteins.


Figure 1. ImmunoBench dataset overview	Figure 2. ImmunoBench task taxonomy

🔒 Access Policy

Access to this dataset is restricted and subject to approval.

To request access:

Please contact the dataset maintainers using your institutional email address
Clearly state your affiliation, research purpose, and intended use

⚠️ This dataset is provided for academic research only.
Commercial use is strictly prohibited without prior written permission.

🔄 Dataset Versioning & Updates

This dataset is part of an actively maintained benchmark and will be continuously updated.

Current release: HANCOCK subset
Future releases may include:
- Additional cohorts
- More foundation models
- Extended feature modalities

All updates will be documented in this repository and the project homepage: 🌐 Project Homepage

⚠️ Usage Notes

These features are pre-extracted representations, not raw images
Performance may vary depending on downstream task design
Users are responsible for ensuring compliance with local data regulations

🤝 Contributions

We welcome community contributions and collaborations.

If you would like to propose additional datasets, tasks, or benchmark extensions for inclusion in ImmunoBench, please contact us or open an issue in our GitHub repository.

💻 GitHub Issues

📫 Contact

For access requests, collaboration inquiries, or technical issues:

📧 test@pjlab.org.cn

📖 Citation

If you use this dataset in your research, please cite:

[Citation information coming soon.]