Abstract
In this paper, it’s presented an automatic quantification computer algorithm of breast arterial calcifications in digital mammograms, using image processing techniques, to be used as a quantitative cardiovascular risk or diabetes indicator for women. The proposed image processing algorithm is composed of two main steps: a detection phase, using a combination of the line operator method with edge detection, and a segmentation phase which use a thresholding technique to obtain seeds for a region growing algorithm. Obtained results shows a good agreement with ground truth images of calcified vessels which have been hand–segmented by an experienced radiologist with a high degree of detail and quality .
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Nava, E., Barba, I., Sendra, F., Gómez–Rebollo, C. (2010). Quantification of Vascular Calcifications on Digitized Mammograms. In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_25
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DOI: https://doi.org/10.1007/978-3-642-13666-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13665-8
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