Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images

Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images

Thyroid nodules have a high prevalence and a small percentage is malignant. Many non-invasive methods have been developed with the help of the Internet of Things to improve the detection rate of malignant nodules. These methods can be roughly categorized into two classes: radiomics based and deep le...

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Bibliographic Details
Main Authors: Yongfeng Wang, Wenwen Yue, Xiaolong Li, Shuyu Liu, Lehang Guo, Huixiong Xu, Heye Zhang, Guang Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Ultrasound images
thyroid nodule
thyroid cancer
nodule classification
convolutional neural network
radiomics
Online Access:https://ieeexplore.ieee.org/document/9034133/

Internet

https://ieeexplore.ieee.org/document/9034133/

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