https://www.selleckchem.com/products/GDC-0449.html
Significant differences of texture features were seen, as follows 1 histogram feature (p = 0.038), 3 gray-level co-occurrence matrix features (p less then 0.05), and 1 neighborhood gray-level different matrix feature (NGLDM) (p = 0.003). Coarseness in NGLDM provided the highest diagnostic accuracy and largest AUC of 76.7% and 0.82, respectively. SVM evaluation of the combined texture features obtained the highest accuracy of 81.3%, with an AUC of 0.80. Combined texture features can provide useful information for discriminating between
Like
Comment
Share
