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

Ultrasound-based deep learning radiomics with explainable machine learning for predicting benign and malignant thyroid nodules in lymphocytic thyroiditis: a multicenter study

  • Ji Zhou1
  • Wenwu Lu1
  • Wei Wei1
  • Ziyi Liu1
  • Wang Zhou1
  • Wei Peng2
  • Wenbo Ding3
  • Xin Wu3
  • Chaoxue Zhang1
  1. 1Department of Ultrasound , The First Affiliated Hospital of Anhui Medical University , Hefei , ;
  2. 2Department of Ultrasound , WuHu Hospital , East China Normal University (The Second People’s Hospital, WuHu) , Wuhu , ;
  3. 3Department of Ultrasound , Affiliated Hospital of Integration Chinese and Western Medicine with Nanjing University of Traditional Chinese Medicine , Nanjing ,
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Cite

BibTeXRIS
BibTeX
@article{zhou2026ultrasoundbased,
  title = {{Ultrasound-based deep learning radiomics with explainable machine learning for predicting benign and malignant thyroid nodules in lymphocytic thyroiditis: a multicenter study}},
  author = {Ji Zhou and Wenwu Lu and Wei Wei and Ziyi Liu and Wang Zhou and Wei Peng and Wenbo Ding and Xin Wu and Chaoxue Zhang},
  journal = {Quantitative imaging in medicine and surgery},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13654164},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Ultrasound-based deep learning radiomics with explainable machine learning for predicting benign and malignant thyroid nodules in lymphocytic thyroiditis: a multicenter study
AU  - Ji Zhou
AU  - Wenwu Lu
AU  - Wei Wei
AU  - Ziyi Liu
AU  - Wang Zhou
AU  - Wei Peng
AU  - Wenbo Ding
AU  - Xin Wu
AU  - Chaoxue Zhang
PY  - 2026
DA  - 2026/08/30
JO  - Quantitative imaging in medicine and surgery
UR  - https://europepmc.org/article/PMC/PMC13654164
SN  - 2223-4292
SN  - 2223-4306
ER  -