Gabor Wavelets and SVM Classifier for Liver Diseases Classiflcation from CT Images

Abstract

In this paper, a liver diseases diagnosis based on Gabor wavelets and support vector machine (SVM) classifier is proposed. The diagnosis scheme includes two steps: features extraction and classification. The features derived from Gabor wavelets are obtained from the regions of interest (ROIs) among the normal and abnormal CT images. In the classification… (More)
DOI: 10.1109/ICSMC.2006.384441

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