E. Ohta, Y. Mitsukura, M. Fukumi, and N. Akamatsu (Japan)
Liver range, Feedback NN, Input position, Subdivision
Recently, internal human organ disorders that medical image analysis can be used to detect is being actively re
searched. The research, however, has concentrated on the
extraction of pulmonary tumors. There is, therefore, little research being done on the extraction of liver tumors.
This is because there is no difference between concentrated
values of a healthy part and one with a tumor in liver CT
images. In this paper, the extraction method of such liver
tumors is proposed. Furthermore, in order to demonstrate
the effectiveness of the proposed scheme, we show simulation examples, using real CT image data.