Mammography segmentation with maximum likelihood active contours
نویسندگان
چکیده
منابع مشابه
Mammography segmentation with maximum likelihood active contours
We present a computer-aided approach to segmenting suspicious lesions in digital mammograms, based on a novel maximum likelihood active contour model using level sets (MLACMLS). The algorithm estimates the segmentation contour that best separates the lesion from the background using the Gamma distribution to model the intensity of both regions (foreground and background). The Gamma distribution...
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Morphology of individual microcalcifications is an important clinical factor in microcalcification clusters diagnosis. Accurate segmentation remains a difficult task due to microcalcifications small size, low contrast, fuzzy nature and low distinguishability from surrounding tissue. A novel application of active rays (polar transformed active contours) on B-spline wavelet representation is empl...
متن کاملIntegrating multiscale polar active contours and region growing for microcalcifications segmentation in mammography
Morphology of individual microcalcifications is an important clinical factor in microcalcification clusters diagnosis. Accurate segmentation remains a difficult task due to microcalcifications small size, low contrast, fuzzy nature and low distinguishability from surrounding tissue. A novel application of active rays (polar transformed active contours) on B-spline wavelet representation is empl...
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ژورنال
عنوان ژورنال: Medical Image Analysis
سال: 2012
ISSN: 1361-8415
DOI: 10.1016/j.media.2012.05.005