A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis
Paper
•
2412.13126
•
Published
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KidRare: A WSI Dataset for Rare Pediatric Pathology
Dataset Description
KidRare is a specialized Whole Slide Image (WSI) dataset focused on rare pediatric tumors. It contains a total of 926 Whole Slide Images (WSIs) covering four distinct types of pediatric cancers: Neuroblastoma, Nephroblastoma, Medulloblastoma, Hepatoblastoma. Diagnostic labels for each slide are provided in the corresponding JSON files. It is designed to facilitate research in computational pathology, specifically for tasks such as cancer diagnosis and subtype classification.
- License: CC-BY-NC-ND-3.0
Citation
If you use this dataset in your research, please cite the following paper:
@article{zhou2024keep,
title={A Knowledge-enhanced Pathology Vision-language Foundation Model for Cancer Diagnosis},
author={Xiao Zhou, Luoyi Sun, Dexuan He, Wenbin Guan, Ruifen Wang, Lifeng Wang, Xin Sun, Kun Sun, Ya Zhang, Yanfeng Wang, Weidi Xie},
journal={arXiv preprint arXiv:2412.13126},
year={2024}
}
Contact
For questions regarding the dataset, please contact:
- Email: firehdx233@sjtu.edu.cn
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