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Computational Intelligence and Neuroscience
Volume 2019, Article ID 7401235, 13 pages
https://doi.org/10.1155/2019/7401235
Research Article

Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT

1School of Computer Science and Technology & Mine Digitization Engineering Research Center of Ministry of Education of the People’s Republic of China, China University of Mining and Technology, Xuzhou 221116, China
2School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
3Department of Computed Tomography, Xuzhou Third People’s Hospital, Xuzhou 221116, China

Correspondence should be addressed to Yanjun Hu; nc.ude.tmuc@uhjy

Received 2 July 2019; Revised 29 August 2019; Accepted 4 September 2019; Published 20 October 2019

Academic Editor: Juan Carlos Fernández

Copyright © 2019 Zuopeng Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zuopeng Zhao, Chen Ye, Yanjun Hu, Ceng Li, and Xiaofeng Li, “Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT,” Computational Intelligence and Neuroscience, vol. 2019, Article ID 7401235, 13 pages, 2019. https://doi.org/10.1155/2019/7401235.