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bcnb-dataset's Introduction

Thanks for your interest in our BCNB: Early Breast Cancer Core-Needle Biopsy WSI Dataset, this dataset is firstly introduced in our paper "Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides".

If our dataset is used in your research or helpful for you, please cite our paper. For more details about our dataset, please visit https://github.com/bupt-ai-cz/BALNMP and https://bupt-ai-cz.github.io/BCNB/

	```
		@article{xu2021predicting,
		  title={Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides},
		  author={Xu, Feng and Zhu, Chuang and Tang, Wenqi and Wang, Ying and Zhang, Yu and Li, Jie and Jiang, Hongchuan and Shi, Zhongyue and Liu, Jun and Jin, Mulan},
		  journal={Frontiers in Oncology},
		  pages={4133},
		  year={2021},
		  publisher={Frontiers}
		}
	```

License

	This BCNB Dataset is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree to our license terms bellow:

		1. That you include a reference to the BCNB Dataset in any work that makes use of the dataset. For research papers, cite our preferred publication as listed on our website; for other media cite our preferred publication as listed on our website or link to the BCNB website.
		
		2. That you do not distribute this dataset or modified versions. It is permissible to distribute derivative works in as far as they are abstract representations of this dataset (such as models trained on it or additional annotations that do not directly include any of our data).
		
		3. That you may not use the dataset or any derivative work for commercial purposes as, for example, licensing or selling the data, or using the data with a purpose to procure a commercial gain.
		That all rights not expressly granted to you are reserved by us.

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