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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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- Cite as: 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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  license: cc-by-4.0
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  pretty_name: STARC-9
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  size_categories:
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- version: 0.1.0-draft
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-
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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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+
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+
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+ LICENSE
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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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  ---
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