US of thyroid nodules: can AI-assisted diagnostic system compete with fine needle aspiration?-Reference-Cited by-同舟云学术

US of thyroid nodules: can AI-assisted diagnostic system compete with fine needle aspiration?

Published:2023-08-24 Issue: Volume: Page:
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Zhou Tianhan,Xu Lei,Shi Jingjing,Zhang Yu,Lin Xiangfeng,Wang Yuanyuan,Hu Tao,Xu Rujun,Xie Lesi,Sun Lijuan,Li Dandan,Zhang Wenhua,Chen Chuanghua,Wang Wei,Xu Chenke,Kong Fanlei,Xun Yanping,Yu Lingying,Zhang Shirong,Ding Jinwang,Wu Fan,Tang Tian,Zhan Siqi,Zhang Jiaoping,Wu Guoyang,Zheng Haitao,Kong Dexing,Luo Dingcun^ORCID

Funder

Zhejiang Basic Public Welfare Research Project

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10132-1.pdf

Reference25 articles.

1. Tessler FN, Middleton WD, Grant EG et al (2017) ACR Thyroid Imaging, Reporting and Data System (TI-RADS): white paper of the ACR TI-RADS Committee. J Am Coll Radiol 14:587–595

2. Cibas ES, Ali SZ (2017) The 2017 Bethesda System for Reporting Thyroid Cytopathology. Thyroid 27:1341–1346

3. Xing M (2019) Genetic-guided risk assessment and management of thyroid cancer. Endocrinol Metab Clin North Am 48:109–124