A method of Intelligent Analysis is provided for liver tumor. It is a method using scanning acoustic tomography (SAT) with a deep learning algorithm for determining the risk of malignance for liver tumor. The method uses the abundant experiences of abdominal ultrasound specialists as a base to mark pixel areas of liver tumors in ultrasound images. The parameters and coefficients of empirical data are trained with the deep learning algorithm to establish a categorizer model reaching an accuracy rate up to 86 percent. Thus, with an SAT image, a help to doctor or ultrasound technician is obtained to determine the risk of malignance for liver tumor through the method, and to further provide a reference base for diagnosing liver tumor category.
Method and Apparatus of Intelligent Analysis for Liver Tumor