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Computed Tomography Super-Resolution Using a Generative Adversarial Network in Bronchoscopy: A Clinical Feasibility Study
Heng sheng Chao
, Tsu Hui Shiao
, Chung Wei Chou
, Fang Chi Lin
,
Yu Te Wu
, Der Ming Liou
*
*
此作品的通信作者
生醫光電研究所
研究成果
:
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同行評審
1
引文 斯高帕斯（Scopus）
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Keyphrases
Bronchoscopy
100%
Generative Adversarial Networks
100%
Super-resolution
100%
Computed Tomography Images
100%
Computed Tomography
100%
Clinical Feasibility
100%
Bronchi
36%
Clinical Scenarios
18%
Deep Learning
18%
Virtual Bronchoscopy
18%
SRGAN
18%
High-resolution
9%
Visual Rating
9%
Commercial Programs
9%
Super-resolution Algorithm
9%
Human Visual
9%
High-resolution Computed Tomography
9%
Clinical Implementation
9%
Human Activity Classification
9%
Pulmonologist
9%
Computer Science
Generative Adversarial Networks
100%
super resolution
100%
Virtual Bronchoscopy
28%
Deep Learning Method
28%
Reconstructed Image
14%
Limited Application
14%
Resolution Method
14%
Medicine and Dentistry
Computer Assisted Tomography
100%
Bronchoscopy
100%
High-Resolution Computed Tomography
9%
Biochemistry, Genetics and Molecular Biology
Computer Assisted Tomography
100%
Reconstruction
8%
Immunology and Microbiology
Computer Assisted Tomography
100%