An identification method of malignant and benign liver tumors from ultrasonography based on GLCM texture features and fuzzy SVM

In this study, we present an application of fuzzy support vector machine (FSVM) and image processing techniques for identifying liver tumor, including malignant and benign tumors. The gray level co-occurrence matrix (GLCM) matrices were utilized to evaluate the texture features of the regions of int...

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Veröffentlicht in:	Expert systems with applications 2010-10, Vol.37 (10), p.6737-6741
1. Verfasser:	Xian, Guang-ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Fuzzy support vector machine Gray level co-occurrence matrix Image contrast Kernels Liver Support vector machines Surface layer Textural features Texture Tumors Ultrasonography classification
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