Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules

Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules

ObjectiveThe purpose of this study was to improve the differentiation between malignant and benign thyroid nodules using deep learning (DL) in category 4 and 5 based on the Thyroid Imaging Reporting and Data System (TI-RADS, TR) from the American College of Radiology (ACR).Design and MethodsFrom Jun...

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Bibliographic Details
Main Authors: Ge-Ge Wu, Wen-Zhi Lv, Rui Yin, Jian-Wei Xu, Yu-Jing Yan, Rui-Xue Chen, Jia-Yu Wang, Bo Zhang, Xin-Wu Cui, Christoph F. Dietrich
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
thyroid imaging reporting and data system (TI-RADS)
ultrasound
thyroid cancer
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.575166/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.575166/full

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