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Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT
Joint Authors
Zhao, Zuopeng
Ye, Chen
Hu, Yanjun
Li, Ceng
Li, Xiaofeng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the development of computed tomography (CT), the contrast-enhanced CT scan is widely used in the diagnosis of thyroid nodules.
However, due to the artifacts and high complexity of thyroid CT images, traditional machine learning has difficulty in detecting thyroid nodules in contrast-enhanced CT.
A fully automated detection algorithm for thyroid nodules using contrast-enhanced CT images is developed.
A modified U-Net architecture of fully convolutional networks is employed to segment the thyroid region of interest (ROI), and a fusion of convolutional neural networks (CNN-Fs) is proposed to detect benign and malignant thyroid nodules from the ROI images and original contrast-enhanced CT images.
Experimental results demonstrate that the proposed cascade and fusion method of multitask convolutional neural networks (CNNs) is efficient in diagnosing thyroid diseases with contrast-enhanced CT images and has superior performance compared with other CNN methods.
American Psychological Association (APA)
Zhao, Zuopeng& Ye, Chen& Hu, Yanjun& Li, Ceng& Li, Xiaofeng. 2019. Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129567
Modern Language Association (MLA)
Zhao, Zuopeng…[et al.]. Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1129567
American Medical Association (AMA)
Zhao, Zuopeng& Ye, Chen& Hu, Yanjun& Li, Ceng& Li, Xiaofeng. Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129567
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129567