Abstract
In this study, the three-dimensional medical image of the cancer of the liver, which is called Hepate-Cellular Carcinoma (HCC), is recognized and extracted by artificial neural network trained using the back propagation algorithm. First, the neural network recognizes the liver regions and the candidate regions of HCC. Then, the density difference image between the early phase image and late phase image of MDCT is extracted. The regions of HCC are detected using the density difference image and the candidate regions of HCC. These image processing are carried out for all slices of MDCT and three-dimensional images of HCC is displayed clearly.
