Abstract
In this study, we propose a revised radial basis function (RBF) network algorithm and apply this algorithm to the recognition of the lung region. The recognition results are compared with those obtained using the conventional RBF network and the conventional sigmoid function neural network trained using back propagation algorithm. It is shown that the revised RBF network is accurate and useful method because the parameters are automatically determined. Then, the revised RBF network is applied to the recognition of the pulmonary vessels and the bronchial trees of the lung. Furthermore, we applied the revised RBF network to the computer aided diagnosis (CAD) of the lung cancer.
