metadata
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.
- The dataset is here: pbcseg_final_v1.tar
- Please check the following GitHub for the data format and usage: 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}
}