Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images

Deep learning for the diagnosis of suspicious thyroid nodules based on multimodal ultrasound images

ObjectivesThis study aimed to differentially diagnose thyroid nodules (TNs) of Thyroid Imaging Reporting and Data System (TI-RADS) 3–5 categories using a deep learning (DL) model based on multimodal ultrasound (US) images and explore its auxiliary role for radiologists with varying degrees of experi...

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Bibliographic Details
Main Authors: Yi Tao, Yanyan Yu, Tong Wu, Xiangli Xu, Quan Dai, Hanqing Kong, Lei Zhang, Weidong Yu, Xiaoping Leng, Weibao Qiu, Jiawei Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
thyroid nodule
deep learning
multimodal
ultrasound
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1012724/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1012724/full

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