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To learn more about dataset generation using DeepCluster++, see the detailed documentation [here](https://github.com/rathinaraja/DeepCluster).
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For training and validation of baseline and foundation classifier models using the generated dataset, visit [here](https://github.com/rathinaraja/STARC-9-Evaluation).
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---
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license: cc-by-4.0
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pretty_name: STARC-9
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size_categories:
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- 1B<n<10B
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version: 0.1.0-draft
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datePublished: 2025-12-05
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---
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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>.
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To learn more about dataset generation using DeepCluster++, see the detailed documentation [here](https://github.com/rathinaraja/DeepCluster).
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For training and validation of baseline and foundation classifier models using the generated dataset, visit [here](https://github.com/rathinaraja/STARC-9-Evaluation).
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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>.
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If you find our work useful in your research or use parts of this code or dataset, please consider citing our research work.
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APA 6
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```bash
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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
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```
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BibTex
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```bash
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@inproceedings{
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subramanian2025starc,
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title={{STARC}-9: A Large-scale Dataset for Multi-Class Tissue Classification for {CRC} Histopathology},
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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},
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booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
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year={2025},
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url={https://openreview.net/forum?id=rGWjTlK6Ev}
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}
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LICENSE
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license: cc-by-4.0
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pretty_name: STARC-9
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size_categories:
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- 1B<n<10B
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version: 0.1.0-draft
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---
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