Three dimensional medical image recognition of lungs by revised GMDH-type neural network algorithm

In this study, a revised Group Method of Data Handling (GMDH)-type neural network algorithm self-selecting the optimum neural network architecture is proposed This algorithm has an ability of self-selecting optimum neural network architecture from three neural network architectures such as the sigmoid function neural network, the radial basis function (RBF) neural network and the polynomial neural network. This algorithm is applied to the 3-dimensional medical image recognition of the lungs and it is shown that this algorithm is very easy to apply to the 3-D medical image recognition because the optimum neural network architecture is automatically organized.