Autori: Mitrea D, Nedevschi S, Lupsor M, Badea R.

Editorial: 7th WSEAS Int Conf on Applied Computer & applied computational science (ACACOS’08), Hangzhou, China, p.764-771, 2008.

Rezumat:

The purpose of this study is to find the relevant features in order to detect the forerunner and early stages
of the hepatocellular carcinoma (HCC); thus, we aim to characterize the evolution of the liver diseases towards hepa-tocellular carcinoma (HCC), by detecting the relevant textural features obtained from ultrasound images, which accu-rately surprise the changes of the liver tissue in the context of this evolution. For the computation of the textural fea-tures the following methods are chosen in order to emphasize the chaotic nature of the malignant tumor: first and sec-ond order statistics, edge-based statistics, fractal-based methods and multiresolution methods; specific methods for feature-selection are applied in order to determine the exhaustive set of independent and relevant features for each evolution phase. We focus on modeling the cirrhosis and hepatocellular carcinoma, but the differentiation of HCC and normal state is also taken into consideration. The final purpose is that of providing a reliable method for non-invasive characterization of the evolution towards HCC, in order to prevent this malignant tumor.

Cuvinte cheie: texture, relevant features, imagistic model, ultrasound images, hepatocellular carcinoma, computer- aided diagnosis

URL: http://www.wseas.us/e-library/conferences/2008/hangzhou/acacos/129-586-597.pdf