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Microcalcifications are tiny calcium deposits present in the breast tissue. They are proved to be an important early sign of a process which started to happen and could be a development of a breast cancer. Because of that computer-aided detection systems (CADe) for detection of microcalcifications with low false positive rate can be very useful and helpful for breast cancer prediction. Accurate detection...
Determining the breast density in mammograms is important both in diagnostic and computer-aided detection applications. Knowing the right breast density and having knowledge of changes in breast density could give a hint of a process which started to happen within a patient. Breast density could be rather easily estimated by dividing mammogram into fibroglandular and fat tissue. Mammograms suffer...
Determining breast density in mammograms is important both in diagnostic and computer-aided detection applications. Knowing the right breast density and having knowledge of changes in breast density could give a hint of a process which started to happen in a patient. Mammograms are projection images and suffer from problem of overlapping tissue which results in possibility of inaccurate detection...
According to American Cancer Society's most recent studies, breast cancer is the most common cancer among women today and a serious threat worldwide. Mammography, whether screen-film or digital, remains the best method to detect early breast cancer. Mammography imaging relies on the projection of a three-dimensional object onto a two-dimensional image in which lesions can be easily obscured and undetected...
The first step in computer aided detection (CAD) in mammography relies on accurate image segmentation. Testing of CAD algorithms should include comparison with other proposed methods in order to show how a new method compares with ones presented before. Two most popular mammographic databases, which are publicly available, consist of scanned films. This presents a segmentation challenge in order to...
Mammographic image registration is an important step in the analysis of differences between the left and right breast in order to detect bilateral asymmetry, which is an early sign of breast cancer. We have used rigid registration to align left and right mammographic images as a first step for comparing corresponding regions in the left and right breast. Registration performance was tested on a dataset...
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