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
- 1School of Computer Science and Engineering , Anhui University of Science and Technology , Huainan , ;
- 2The First Hospital , Anhui University of Science and Technology , Huainan , ;
- 3School of Medicine , Anhui University of Science and Technology , Huainan , ;
- 4School of Artificial Intelligence , Anhui University of Science and Technology , Huainan , ;
- 5School of Mathematics and Big Data , Anhui University of Science and Technology , Huainan , ;
- 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 -