A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients-Reference-Cited by-同舟云学术

A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients

Published:2023-07-12 Issue:12 Volume:33 Page:9347-9356
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Wang Juan,Dong Caixia,Zhang Yao-zhong,Wang Lirong,Yuan Xin,He Meiqing,Xu Songhua,Zhou Qi,Jiang Jue^ORCID

Funder

national natural science foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-09909-1.pdf

Reference32 articles.

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4. Clark OH (2011) Thyroid cancer and lymph node metastases. J Surg Oncol 103(6):615–618

5. Coca-Pelaz A, Shah JP, Hernandez-Prera JC et al (2020) Papillary thyroid cancer-aggressive variants and impact on management: a narrative review. Adv Ther 37(7):3112–3128

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