Texture-Based Classification of Hepatic Primary Tumors in Multiphase CT

摘要

A new approach to the hepatic primary tumor recognition from dynamic CT images is proposed. In the first step of the proposed method, texture features are extracted from manually traced ROI-s to objectively characterize lesions. The second step consists in applying decision tree classifier. For the first time, the parameters obtained in subsequent acquisition moments are analyzed simultaneously.