Peer-reviewedCC BY 4.0Scientific Reports
EffiThy-Net: a lightweight lesion-calibrated and boundary-preserving network for thyroid nodule segmentation
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BibTeX
@article{shi2026effithynet,
title = {{EffiThy-Net: a lightweight lesion-calibrated and boundary-preserving network for thyroid nodule segmentation}},
author = {Zhanhua Shi and Wei Wu and Jing Liu and Haochen Hu and Junjie Tao and Siyuan Guo and Pan Li},
journal = {Scientific Reports},
year = {2026},
month = nov,
doi = {10.1038/s41598-026-79727-0},
url = {https://www.nature.com/articles/s41598-026-79727-0},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - EffiThy-Net: a lightweight lesion-calibrated and boundary-preserving network for thyroid nodule segmentation
AU - Zhanhua Shi
AU - Wei Wu
AU - Jing Liu
AU - Haochen Hu
AU - Junjie Tao
AU - Siyuan Guo
AU - Pan Li
PY - 2026
DA - 2026/11/09
JO - Scientific Reports
DO - 10.1038/s41598-026-79727-0
UR - https://www.nature.com/articles/s41598-026-79727-0
SN - 2045-2322
ER -