A Novel Pectoral Removal Approach in Digital Mammogram Segmentation and USRR Feature Selection


Detection of micro calcification based on textural image segmentation and classification is the most effective early-diagnosis of breast cancer. The aim of segmentation is to extract a breast region by estimation of a breast skin-line and a pectoral muscle as well as removing radiographic artifacts and the background of the mammogram. The intensity value is… (More)


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