Research on Fuzzy Enhancement in the Diagnosis of Liver Tumor from B-mode Ultrasound Images
Автор: Wu Qiu, Feng xiao, Xin Yang, Xuming Zhang, Ming Yuchi, Mingyue Ding
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 3 vol.3, 2011 года.
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Fuzzy enhancement is applied in computer aided diagnosis of liver cancer from B mode ultrasound images as a pre-processing procedure in this paper. It was evaluated with three classifiers including K means, back propagation neural network and support vector machine using 25 features from first order statistic (FOS), gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), Grey level dependant matrix (GLDM) and LAWS. In the analysis of 166 normal liver tissue, 30 hemangioma and 60 malignant tumor, our method improved the classification accuracy of three classifiers (K means, BP neural network and support machine vector) in distinguishing liver cancer, hemangioma and normal liver cancer from B mode ultrasound images. It is proved that fuzzy enhancement as an efficient preprocessing procedure could be used in the computer aided diagnosis system of liver cancer.
Fuzzy enhancement, liver cancer, neural network, support vector machine, computer aided diagnosis
Короткий адрес: https://sciup.org/15012133
IDR: 15012133
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