Automatic extraction of tumors by using neural computation
Aki Ichihara, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo · 2002
Automatic extraction of tumors is needed in a medical field. A 3D image is composed of the sequence of 2D CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has the ability as a pre-processing system for extraction of liver tumors.