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Ultrasonic Evaluation of Liver Fibrosis Using the Homodyned K Distribution with an Artificial Neural Network Estimator
Anna Gao
, Shuicai Wu
, Dar In Tai
, Zhuhuang Zhou
,
Po Hsiang Tsui
生物醫學工程學系(含學碩博士班)
醫學影像暨放射科學系(含學碩博士班)
Beijing University of Technology
Chang Gung University
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:
期刊稿件
›
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›
同行評審
10
引文 斯高帕斯（Scopus）
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深入研究「Ultrasonic Evaluation of Liver Fibrosis Using the Homodyned K Distribution with an Artificial Neural Network Estimator」主題。共同形成了獨特的指紋。
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Computer Science
Artificial Neural Network
100%
Characteristic Curve
16%
Computer Simulation
16%
Detection
8%
Diagnosis
8%
Early Detection
8%
Envelope Signal
16%
Evaluation
100%
Generalized Model
8%
Neural Network Model
16%
Noise-to-Signal Ratio
8%
Physical Meaning
8%
Statistics
8%
Ultrasound
8%
Chemistry
Backscattering
25%
Computer Simulation
50%
Group
100%
Hepatic Steatosis
75%
Signal-to-Noise Ratio
25%
Mathematics
Artificial Neural Network
100%
Characteristic Curve
16%
Computer Simulation
16%
Detection
16%
Diagnosis
8%
Kurtosis
8%
Monte Carlo
8%
Network Model
16%
Noise Ratio
8%
Parameters
50%
Physical Meaning
8%
Skewness
8%
U-Statistics
8%
Biochemistry, Genetics and Molecular Biology
Artificial Neural Network
100%
Computer Model
16%
Radiofrequency
16%
Signal Noise Ratio
8%
Ultrasound
100%
Pharmacology, Toxicology and Pharmaceutical Science
Fatty Liver
42%
Liver Fibrosis
100%