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AL-Net

The manuscript has been accepted in JBHI.

https://authors.elsevier.com/c/1hXNU_3sJeXkDk

dataset

https://pan.baidu.com/share/init?surl=0DpPbvYlt7urt34Mc6JOOg Extraction code: uono

https://www.kaggle.com/datasets/zhaojing0522/cervical-nucleus-segmentation

@ARTICLE{Zhao9656603, author={Zhao, Jing and He, Yong-Jun and Zhao, Si-Qi and Huang, Jin-Jie and Zuo, Wang-Meng}, journal={IEEE Journal of Biomedical and Health Informatics}, title={AL-Net: Attention Learning Network Based on Multi-Task Learning for Cervical Nucleus Segmentation}, year={2022}, volume={26}, number={6}, pages={2693-2702}, doi={10.1109/JBHI.2021.3136568}}

@article{ZHAO2023107732, title = {CNSeg: A dataset for cervical nuclear segmentation}, journal = {Computer Methods and Programs in Biomedicine}, volume = {241}, pages = {107732}, year = {2023}, issn = {0169-2607}, doi = {https://doi.org/10.1016/j.cmpb.2023.107732}, url = {https://www.sciencedirect.com/science/article/pii/S016926072300398X}, author = {Jing Zhao and Yong-jun He and Shu-Hang Zhou and Jian Qin and Yi-ning Xie} }

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