Abstract
The aim of this research is to develop a method for classification of the degree of myocardial necrosis using texture parameters estimated for static ultrasound images. The study is performed for the color and monochrome contrast echocardiograms that allow the advanced evaluation of myocardial function. The analysis includes investigation of different texture feature selection methods and application of two neural networks with different architectures along with SVM for classification. The obtained preliminary results are promising; classification error in all investigated cases is lower than 20%. The results were presented and discussed, also direction of further research was outlined.
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Strzelecki, M., Skonieczka, S., Michalski, B., Lipiec, P., Kasprzak, J.D. (2012). Quantification of the Myocardial Viability Based on Texture Parameters of Contrast Ultrasound Images. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_77
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DOI: https://doi.org/10.1007/978-3-642-33564-8_77
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