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 3rd-order GLCM textural features and the other textural features, respectively the 2nd-order GLCM, the 3rd-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

fig3

Figure 3

Figure 3: Abdominal Tumor Characterization and Recognition Using  Superior-Order  Cooccurrence Matrices, Based on Ultrasound Images 