Global weighted LBP based entropy features for the assessment of pulmonary hypertension
Pattern Recognition Letters(2019)
摘要
•A novel technique proposed for the automated identification of pulmonary hypertension.•Globally weighted local binary pattern (LBP) and entropy features are used.•Achieved highest accuracy of approximately 92% using support vector machine classifier.
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关键词
CAD tool,Entropy,Global weighted LBP,Support vector machine
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