A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning

Wenkai Huang; Yihao Xue; Yu Wu

doi:10.1371/journal.pone.0219369

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Open Access

Peer-reviewed

Research Article

A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning

Wenkai Huang,

Roles Methodology, Resources

Affiliation Center for Research on Leading Technology of Special Equipment, School of Mechanical & Electrical Engineering, Guangzhou University, Guangzhou, P.R. China
⨯
Yihao Xue,

Roles Software, Writing – original draft

Affiliation School of Mechanical & Electrical Engineering, Guangzhou University, Guangzhou, P.R. China
⨯
Yu Wu

Roles Project administration

* E-mail: 35452015@qq.com

Affiliation Laboratory Center, Guangzhou University, Guangzhou, P.R. China

http://orcid.org/0000-0002-1804-0495

⨯

A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning

Wenkai Huang,
Yihao Xue,
Yu Wu

Published: July 12, 2019
https://doi.org/10.1371/journal.pone.0219369

About the Authors

Wenkai Huang

Roles Methodology, Resources

Affiliation Center for Research on Leading Technology of Special Equipment, School of Mechanical & Electrical Engineering, Guangzhou University, Guangzhou, P.R. China

Yihao Xue

Roles Software, Writing – original draft

Affiliation School of Mechanical & Electrical Engineering, Guangzhou University, Guangzhou, P.R. China

Yu Wu

Roles Project administration

* E-mail: 35452015@qq.com

Affiliation Laboratory Center, Guangzhou University, Guangzhou, P.R. China

http://orcid.org/0000-0002-1804-0495

Competing Interests

The authors have declared that no competing interests exist.

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Neural networks
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Computed axial tomography
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Lung and intrathoracic tumors
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Pulmonary imaging
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Deep learning
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Imaging techniques
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Preprocessing
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Built structures
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