12-Dec-2025 Note: The latest updated dataset will be available soon.

Paper link is given here: <a href="https://openreview.net/forum?id=rGWjTlK6Ev" target="_blank" rel="noopener"> Openreview </a>  or <a href="https://arxiv.org/abs/2511.00383" target="_blank" rel="noopener"> Arxiv </a>.

To learn more about dataset generation using DeepCluster++, see the detailed documentation [here](https://github.com/rathinaraja/DeepCluster).

For training and validation of baseline and foundation classifier models using the generated dataset, visit [here](https://github.com/rathinaraja/STARC-9-Evaluation).

Both the collected dataset and the trained model have been made publicly available for research use. Visit <a href="https://huggingface.co/datasets/Path2AI/STARC-9/tree/main" target="_blank" rel="noopener"> here </a>.

If you find our work useful in your research or use parts of this code or dataset, please consider citing our research work.

APA 6
```bash
Subramanian, B., Jeyaraj, R., Peterson, M. N., Guo, T., Shah, N., Langlotz, C., Ng, A. Y., & Shen, J. (2025). STARC-9: A large-scale dataset for multi-class tissue classification for CRC histopathology. In The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track. https://openreview.net/forum?id=rGWjTlK6Ev
```

BibTex

```bash
@inproceedings{
subramanian2025starc,
title={{STARC}-9: A Large-scale Dataset for Multi-Class Tissue Classification for {CRC} Histopathology},
author={Barathi Subramanian and Rathinaraja Jeyaraj and Mitchell Nevin Peterson and Terry Guo and Nigam Shah and Curtis Langlotz and Andrew Y. Ng and Jeanne Shen},
booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
year={2025},
url={https://openreview.net/forum?id=rGWjTlK6Ev}
}


LICENSE
---

license: cc-by-4.0
task_categories:
- image-classification
language:
- en
tags:
- medical
- histopathology
- colorectal-cancer
pretty_name: STARC-9
size_categories:
- 1B<n<10B
version: 0.1.0-draft 

---

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