Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China-Reference-Cited by-同舟云学术

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Deep learning models for thyroid nodules diagnosis of fine-needle aspiration biopsy: a retrospective, prospective, multicentre study in China

Published:2024-07 Issue:7 Volume:6 Page:e458-e469
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Wang Jue,Zheng Nafen,Wan Huan,Yao Qinyue,Jia Shijun,Zhang Xin,Fu Sha,Ruan Jingliang,He Gui,Chen Xulin,Li Suiping,Chen Rui,Lai Boan,Wang Jin,Jiang Qingping,Ouyang Nengtai,Zhang Yin

Funder

Science and Technology Department of Guangxi Zhuang Autonomous Region

Department of Science and Technology of Guangdong Province

Publisher

Elsevier BV

Reference50 articles.

1. Thyroid nodules: global, economic, and personal burdens;Uppal;Front Endocrinol (Lausanne),2023

2. Very high prevalence of thyroid nodules detected by high frequency (13 MHz) ultrasound examination;Guth;Eur J Clin Invest,2009

3. Diagnosis of thyroid nodules;Alexander;Lancet Diabetes Endocrinol,2022

4. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J Clin,2021

5. Ultrasound-guided fine-needle aspiration biopsy of thyroid nodules and multinodular goiters;Baskin;Endocr Pract,2004

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