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Peer-reviewedCC BYFrontiers in endocrinology

Prediction of gross extrathyroidal extension in papillary thyroid carcinoma using a deep learning radiomics model based on post-processing techniques for multi-phase contrast-enhanced MRI images

  • Yun Zeng1
  • Xinyi Li1
  • Lang Tang2
  • Xiaoli Xie3
  • Anwei Mao4
  • Bin Song1
4 affiliations
  1. 1Department of Radiology, Minhang Hospital, Fudan University , ,
  2. 2Department of Ultrasound, Minhang Hospital, Fudan University , ,
  3. 3Department of Pathology, Minhang Hospital, Fudan University , ,
  4. 4Department of General Surgery, Minhang Hospital, Fudan University , ,
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Cite

BibTeXRIS
BibTeX
@article{zeng2026prediction,
  title = {{Prediction of gross extrathyroidal extension in papillary thyroid carcinoma using a deep learning radiomics model based on post-processing techniques for multi-phase contrast-enhanced MRI images}},
  author = {Yun Zeng and Xinyi Li and Lang Tang and Xiaoli Xie and Anwei Mao and Bin Song},
  journal = {Frontiers in endocrinology},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13657937},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Prediction of gross extrathyroidal extension in papillary thyroid carcinoma using a deep learning radiomics model based on post-processing techniques for multi-phase contrast-enhanced MRI images
AU  - Yun Zeng
AU  - Xinyi Li
AU  - Lang Tang
AU  - Xiaoli Xie
AU  - Anwei Mao
AU  - Bin Song
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in endocrinology
UR  - https://europepmc.org/article/PMC/PMC13657937
SN  - 1664-2392
ER  -