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西北工业大学 国内
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A method of feature fusion and dimension reduction for knee joint pathology screening and separability evaluation criteria
Chunyi Ma, Jingyi Yang, Qian Wang, Hao Liu, Hu Xu, Tan Ding,
Jianhua Yang
自动化学院
Northwestern Polytechnical University Xian
The 705 Research Institute (CSIC)
PLA Lushan Rehabilitation and Recuperation Center
Air Force Medical University
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同行评审
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引用 (Scopus)
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探究 'A method of feature fusion and dimension reduction for knee joint pathology screening and separability evaluation criteria' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Feature Fusion
100%
Evaluation Criterion
100%
Feature Dimension
40%
Random Forest Classifier
40%
Deep Features Fusion
40%
Experimental Result
20%
Good Performance
20%
Support Vector Machine
20%
Effective Method
20%
Dimensional Feature
20%
Evaluation Index
20%
Principal Component
20%
Correlation Matrix
20%
Component Analysis
20%
Single Feature
20%
Coefficient Matrix
20%
Analysis Signal
20%
Quantitative Metric
20%
Classification Research
20%
Engineering
Joints (Structural Components)
100%
Separability
100%
Random Forest
40%
Experimental Result
20%
Illustrates
20%
Correlation Matrix
20%
Metrics
20%
Good Performance
20%
Principal Component
20%
Component Analysis
20%
Coefficient Matrix
20%
Diagnostic Device
20%
Single Feature
20%
Screening Efficiency
20%