Cirrhosis classification based on MRI with duplicative-feature support vector machine (DFSVM)
We propose a new CAD system for cirrhosis detection from normal hepatic tissue MR imaging. We extract six texture features with different properties for charactering regions of interest. Feature selection and classification are carried out with proposed DFSVM. The impact of the most valuable features is well strengthened. The high prediction performance can be got based on clinical data.
classification duplicative-feature support vector machine cirrhosis detection feature selection computer-aided diagnostic (cad)