Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowledge base

摘要

A revised group method of data handling (GMDH)-type neural network algorithm using knowledge base for medical image diagnosis, is proposed and applied to medical image diagnosis of liver cancer. In this algorithm, the knowledge base for medical image diagnosis is used for organizing the neural network architecture for medical image diagnosis. Furthermore, the revised GMDH-type neural network algorithm has a feedback loop and can identify the characteristics of the medical images accurately using feedback loop calculations. It is shown that the revised GMDH-type neural network is accurate and a useful method for the medical image diagnosis of the liver cancer.