---
license: mit
tags:
- medical
- biology
- segmentation
- white-blood-cells
---

# WBCAtt+ Dataset

WBCAtt+ is a dataset that contains attribute annotations and segmentation masks for 10k images of white blood cells.

![Overview](./teaser.jpg)  

- The dataset is here: [pbcseg_final_v1.tar](./pbcseg_final_v1.tar)
- Please check the following GitHub for the data format and usage: [https://github.com/apple2373/wbcattplus](https://github.com/apple2373/wbcattplus)

## Reference
If you find this dataset useful, please consider to cide: 
### Journal Version (this repository)
- Satoshi Tsutsui, Winnie Pang, Shuting He, and Bihan Wen, “WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images,” *Medical Image Analysis*, 2026.
```
@article{tsutsui2026wbcattplus,
  title={WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images},
  author={Tsutsui, Satoshi and Pang, Winnie and He, Shuting and Wen, Bihan},
  journal={Medical Image Analysis},
  year={2026}
}
```

### Conference Version
-  Satoshi Tsutsui, Winnie Pang, and Bihan Wen. WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes.  *Advances in Neural Information Processing Systems (NeurIPS)* 2023.
```
@inproceedings{tsutsui2023wbcatt,
  title={WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes},
  author={Tsutsui, Satoshi and Pang, Winnie and Wen, Bihan},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS).},
  year={2023}
}