Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine

The systolic and diastolic heart failure (HF) subjects are typically categorized based on clinical indices only. The relationship between different stages of systolic and diastolic heart failure and left ventricle (LV) myocardial tissue variations is presented in this work. The corr-entropy and opti...

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Vydané v:	Signal, image and video processing Ročník 16; číslo 1; s. 127 - 135
Hlavní autori:	Muthunayagam, Muthulakshmi, Ganesan, Kavitha
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.02.2022 Springer Nature B.V
Predmet:	Algorithms Computer Imaging Computer Science Feature extraction Heart failure Image Processing and Computer Vision Image segmentation Inhomogeneity Magnetic resonance imaging Multimedia Information Systems Myocardium Noise intensity Optimization Original Paper Pattern Recognition and Graphics Shape Signal,Image and Speech Processing Support vector machines Vision Heart failure Support vector machine Cardiovascular magnetic resonance Krawtchouk moment Harris hawks optimization Corr-entropy level set
ISSN:	1863-1703, 1863-1711
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