Hybrid multi-layered GMDH-type neural network self-selecting various neurons and its application to medical image diagnosis of liver cancer

In this study, hybrid multi-layered Group Method of Data Handling (GMDH)-type neural network algorithm self-selecting various neurons is applied to the computer aided image diagnosis (CAD) of liver cancer. First, the GMDH-type neural network which recognizes the liver regions, is automatically organized using multi-detector row CT (MDCT) images of the liver, and the liver regions are recognized and extracted. Then, another new GMDH-type neural network is automatically organized using the extracted image of liver, and the candidate regions of the liver cancer is recognized and extracted. The recognition results are compared with the conventional sigmoid function neural network trained using back propagation method and it is shown that this algorithm is useful for CAD of liver cancer.