A novel pectoral muscle segmentation from scanned mammograms using EMO algorithm
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 کاملA novel and automatic pectoral muscle identification algorithm for mediolateral oblique (MLO) view mammograms using ImageJ
Pectoral muscle identification is often required for breast cancer risk analysis, such as estimating breast density. Traditional methods are overwhelmingly based on manual visual assessment or straight line fitting for the pectoral muscle boundary, which are inefficient and inaccurate since pectoral muscle in mammograms can have curved boundaries. This paper proposes a novel and automatic pecto...
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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 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: Biomedical Engineering Letters
سال: 2019
ISSN: 2093-9868,2093-985X
DOI: 10.1007/s13534-019-00135-7