BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images
Therefore, the proposed Bloss-DDNet can effectively address the segmentation problem of overlapping cell clusters and nuclei in clinical LBC images, providing strong support for subsequent clinical auxiliary diagnosis of cervical cancer.
Authors
- Yingjian Yang
- Cong Jin (ORCID: https://orcid.org/0000-0002-1153-2964)
- Guihua Yang (ORCID: https://orcid.org/0000-0002-5288-6363)
- Jinjie Huang (ORCID: https://orcid.org/0000-0001-9243-3011)
- Xiang‐Ran Cai (ORCID: https://orcid.org/0000-0003-4010-7577)
- Yingwei Guo (ORCID: https://orcid.org/0000-0002-3049-8474)
- Jie Zheng (ORCID: https://orcid.org/0000-0002-2310-2996)
- Yibo Wang (ORCID: https://orcid.org/0000-0002-3562-9277)
- Chengcheng Liu (ORCID: https://orcid.org/0000-0001-6995-6439)
- Peng Guo (ORCID: https://orcid.org/0000-0002-0765-1936)
- Yong Li (ORCID: https://orcid.org/0000-0003-2278-6991)
- Junchi Ma
- Ziran Chen (ORCID: https://orcid.org/0000-0003-1113-7697)
- Kai Zhao (ORCID: https://orcid.org/0000-0002-2441-6532)
- Qi Gao (ORCID: https://orcid.org/0009-0000-2620-0869)
- Tianqi Wu (ORCID: https://orcid.org/0009-0004-8475-4367)
- Xiaona Yang
Institutions
- Harbin University of Science and Technology (CN)
- Construction Development (Qatar) (QA)
- Lantheus Medical Imaging (United States) (US)
- Xi'an Aeronautical University (CN)
- Daqing Normal University (CN)
- Zaozhuang University (CN)
- First Affiliated Hospital of Jinan University (CN)
- Shenyang University (CN)
- Northeast Petroleum University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-11-26
- DOI
- https://doi.org/10.3389/frai.2025.1649452
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48