| --- |
| 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](./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 cite: |
| ### 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} |
| } |
| |
