Pectoral muscle identification in mammograms
نویسندگان
چکیده
منابع مشابه
Pectoral 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 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...
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Due to drastic growth in mammography, a huge number of high quality and diverse images are available for analysis. At this juncture, usage of computer vision techniques, which includes artificial systems to analyze these medical images, is indispensable. However, the usage of artificial systems for mammogram analysis is not new to this field. Though Computer-Aided Detection (CAD) for breast can...
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 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...
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ژورنال
عنوان ژورنال: Journal of Applied Clinical Medical Physics
سال: 2011
ISSN: 1526-9914
DOI: 10.1120/jacmp.v12i3.3285