Pectoral Muscle removal and Detection of masses in Digital Mammogram using CCL
نویسندگان
چکیده
منابع مشابه
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 taken using histogram function. After...
متن کاملAutomatic Mammogram image Breast Region Extraction and Removal of Pectoral Muscle
Currently Mammography is a most effective imaging modality used by radiologists for the screening of breast cancer. Finding an accurate, robust and efficient breast region segmentation technique still remains a challenging problem in digital mammography. Extraction of the breast profile region and the removal of pectoral muscle are essential pre-processing steps in Computer Aided Diagnosis (CAD...
متن کاملAutomatic Mammogram image Breast Region Extraction and Removal of Pectoral Muscle
Currently Mammography is a most effective imaging modality used by radiologists for the screening of breast cancer. Finding an accurate, robust and efficient breast region segmentation technique still remains a challenging problem in digital mammography. Extraction of the breast profile region and the removal of pectoral muscle are essential pre-processing steps in Computer Aided Diagnosis (CAD...
متن کاملDetection of Abnormal Masses in Mammogram Images
Masses in the breast can be located in digital mammogram images by computationally analysing various feature statistics from the image. Any algorithm used to analyse digital mammogram images can be both time-consuming and errorprone because many areas of these images appear to have features that are mass-like but not masses. Thus false positives are produced which detract from the effectiveness...
متن کاملRemoval of Pectoral Muscle Region in Digital Mammograms using Binary Thresholding
The pectoral muscle represents a predominant density region in Medio-Lateral Oblique (MLO) views of mammograms, which appears at approximately the same density as the dense tissues of interest in the image and can affect the results of image analysis methods. Therefore, segmentation of pectoral muscle is important in order to limit the search for the breast abnormalities only to the breast regi...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/140-258