Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network

Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network

With the increasing cases of thyroid malignant tumors, the diagnosis of thyroid nodule has attracted more and more attention. Deep learning has achieved promising results in computer-aided diagnosis due to the advantages of obtaining high-dimensional features. In this paper, we proposed a hybrid mul...

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Bibliographic Details
Main Authors: Ruoning Song, Long Zhang, Chuang Zhu, Jun Liu, Jie Yang, Tong Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Thyroid nodule classification
ultrasound image
hybrid multi-branch network
feature cropping
weighted loss function
Online Access:https://ieeexplore.ieee.org/document/9044854/

Internet

https://ieeexplore.ieee.org/document/9044854/

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