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In this paper, a new method is developed for extracting so-called region-based stellate features to correctly differentiate spiculated malignant masses from normal tissues on mammograms. In the proposed method, a given region of interest (ROI) for feature extraction is divided into three individual subregions, namely core, inner, and outer parts. The proposed region-based stellate features are then...
In this paper, new region-based stellate features have been developed for correctly differentiating spiculated malignant lesions from normal tissues in mammography. The purpose of using proposed features is to reduce the number of false positive that are produced during the detection of suspicious regions in computeraided detection (CAD). It has been well-known that one particularly important characteristic...
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