Shape-based Automatic Detection of Pectoral Muscle Boundary in Mammograms
نویسندگان
چکیده
منابع مشابه
Shape-based Automatic Detection of Pectoral Muscle Boundary in Mammograms
The detection of the pectoral muscle boundary in the medio-lateral oblique view of mammograms is essential to improving the computer-aided diagnosis of breast cancer. In this study, a shape-based detection method is proposed for accurately extracting the boundary of the pectoral muscle in mammograms. A shape-based enhancement mask is applied to the mammogram and the initial boundary is then def...
متن کاملAutomatic Identification and Elimination of Pectoral Muscle in Digital Mammograms
Computer aided detection/diagnosis aims at assisting radiologist in the analysis of digital mammograms. Digital mammogram has emerged as the most popular screening technique for early detection of breast cancer and other abnormalities in human breast tissue. The pectoral muscle represents a predominant density region in most mammograms and can affect/bias the results of image processing methods...
متن کاملPectoral muscle identification in mammograms
In most of the approaches of computer-aided detection of breast cancer, one of the preprocessing steps applied to the mammogram is the removal/suppression of pectoral muscle, as its presence within the mammogram may adversely affect the outcome of cancer detection processes. Through this study, we propose an efficient automatic method using the watershed transformation for identifying the pecto...
متن کاملRobust automatic breast and pectoral muscle segmentation from scanned mammograms
Breast skin–air interface and pectoral muscle segmentation are usually first steps in all CAD applications on scanned as well as digital mammograms. Breast skin–air interface segmentation is much more difficult task when performed on scanned mammograms than on digital mammograms. In case of pectoral muscle segmentation, segmentation difficulty of analog and digital mammograms is usually similar...
متن کاملAutomatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms
The computer-aided detection (CAD) systems have been developed to help radiologists with the early detection of breast cancer. This system provides objective and accurate information to reduce the misdiagnosis of the disease. In mammography, the pectoral muscle region is used as an index to compare the symmetry between the left and right images in the mediolateral oblique (MLO) view. The pector...
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ژورنال
عنوان ژورنال: Journal of Medical and Biological Engineering
سال: 2015
ISSN: 1609-0985,2199-4757
DOI: 10.1007/s40846-015-0043-6