Automated colon cancer detection using hybrid of novel geometric features and some traditional features
A novel colon cancer detection system has been proposed. The proposed system utilizes a hybrid of traditional and novel features for classification. Novel geometric features, which mathematically quantify the variation in the structure of normal and malignant colon tissues, have been proposed. The proposed geometric features show superior classification performance compared to traditional features. RBF kernel of SVM shows promising results for classification of colon cancer data.
colon cancer geometric classification elliptic objects colon biopsy elliptic fourier descriptors sift morphological and texture features