Abstract
We investigated the associations between Tabár based breast parenchymal patterns and Birads density parenchymal patterns in digital mammography. Breast parenchymal texture was analysed on a set of mammographc images segmented based on Tabár tissue modelling. Visual assessment indicates good and anatomically improved segmentation on tissue specific areas. At the tissue modelling stage, over and/or under training can cause tissue composition fluctuation between nodular and homogeneous tissue, whilst the percentages of radiolucent tissue are less sensitive to the algorithm’s parameter configurations. The clear depiction with digital mammography allows a better segmentation on tissue specific areas, which indicates that the breast parenchymal texture may be utilised in mammographic interpretation as the new technology advances further. The average tissue compositions for the Tabár parenchymal patterns show inadequate compositions of nodular and homogeneous tissue. Stronger associates were found between Tabár tissue compositions for [nodular, homogeneous], [nodular, homogeneous, radiolucent] and Birads breast density classes I and IV.
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He, W., Zwiggelaar, R. (2013). Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tabár and Birads Tissue Compositions. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_48
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DOI: https://doi.org/10.1007/978-3-642-40246-3_48
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