Abstract
A major problem that researchers face when working with digital medical images is that not all the information about the image is stored with it. Image analysis is used to extract useful information from the images. A clear problem when analyzing digital mammograms is that there is not a direct method to interpret pixel values. In this paper a method is presented that, performs the estimation of the amount of glandular tissue in digital mammograms. This contribution also shows how this knowledge about the pixels allows performing a segmentation of the breast region in its constituent parts; and if present, microcalcifications may be detected.
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© 2006 Springer-Verlag Berlin Heidelberg
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Roller, D., Lampasona, C. (2006). A Method for Interpreting Pixel Grey Levels in Digital Mammography. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_52
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DOI: https://doi.org/10.1007/11867661_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44894-5
Online ISBN: 978-3-540-44896-9
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