Abdominal Tumor Characterization and Recognition Using  Superior-Order  Cooccurrence Matrices, Based on Ultrasound Images

<table>The recognition rate obtained when considering the 2nd order GLCM features combined with the other textural features, the 5th-order GLCM textural features and the other textural features, respectively, the 2nd order GLCM, the 5th-order GLCM, and the other textural features, in the case of the differentiation between HCC and cirrhotic parenchyma.</table>

Computational and Mathematical Methods in Medicine

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Figure 4

Figure 4: Abdominal Tumor Characterization and Recognition Using  Superior-Order  Cooccurrence Matrices, Based on Ultrasound Images 