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Peer-reviewedCC BY-NC-NDQuantitative imaging in medicine and surgery

TiLCA-Net: nuclei segmentation and classification in pathological images via task-specialized attention and efficient decoding

6 affiliations
  1. 1School of Computer Science and Engineering , Anhui University of Science and Technology , Huainan , ;
  2. 2The First Hospital , Anhui University of Science and Technology , Huainan , ;
  3. 3School of Medicine , Anhui University of Science and Technology , Huainan , ;
  4. 4School of Artificial Intelligence , Anhui University of Science and Technology , Huainan , ;
  5. 5School of Mathematics and Big Data , Anhui University of Science and Technology , Huainan , ;
  6. 6Department of Pathology , Shenzhen People’s Hospital , The Second Clinical Medical College , Jinan University , The First Affiliated Hospital , Southern University of Science and Technology , Shenzhen , ;

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BibTeX
@article{xiang2026tilcanet,
  title = {{TiLCA-Net: nuclei segmentation and classification in pathological images via task-specialized attention and efficient decoding}},
  author = {Liu Xiang and Xuejia Zheng and Huihui Tao and Bo Jin and Chi Jiang and Enqi Feng and Leping Wang and Xiaoni Zhong and Jie Song and Yong Dai},
  journal = {Quantitative imaging in medicine and surgery},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13654095},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - TiLCA-Net: nuclei segmentation and classification in pathological images via task-specialized attention and efficient decoding
AU  - Liu Xiang
AU  - Xuejia Zheng
AU  - Huihui Tao
AU  - Bo Jin
AU  - Chi Jiang
AU  - Enqi Feng
AU  - Leping Wang
AU  - Xiaoni Zhong
AU  - Jie Song
AU  - Yong Dai
PY  - 2026
DA  - 2026/09/18
JO  - Quantitative imaging in medicine and surgery
UR  - https://europepmc.org/article/PMC/PMC13654095
SN  - 2223-4292
SN  - 2223-4306
ER  -