Fully automated breast boundary and pectoral muscle segmentation in mammograms
نویسندگان
چکیده
منابع مشابه
Robust 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 کاملBreast Segmentation with Pectoral Muscle Suppression on Digital Mammograms
Previous works on breast tissue identification and abnormalities detection notice that the feature extraction process is affected if the region processed is not well focused. Thereby, it is important to split the mammogram into interesting regions to achieve optimal breast parenchyma measurements, breast registration or to put into focus a technique when we search for abnormalities. In this pap...
متن کاملShape-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 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 کاملPreprocessing and pectoral muscle separation from breast mammograms
Computer aided diagnosis (CAD) systems can be used as a second opinion to the radiologists for diagnosis of breast cancer from mammogram images. In this paper, we have proposed preprocessing method to remove noise from mammogram images. Then, enhancement has been performed. After that, background has been removed. Finally, pectoral muscle separation has been performed. It has been noted that re...
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ژورنال
عنوان ژورنال: Artificial Intelligence in Medicine
سال: 2017
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2017.06.001