Abstract
Mammographic risk assessment provides an indication of the likelihood of women developing breast cancer. A number of mammographic image based classification methods have been developed, such as Wolfe, Boyd, BI-RADS and Tabár based assessment. We provide a comparative study of these four approaches. Results on the full MIAS database are presented, which indicate strong correlation (Spearman’s > 0.9) between Wolfe, Boyd and BI-RADS based classification, whilst the correlation with Tabár based classification is less straight forward (Spearman’s < 0.5, but low correlations mainly caused by one of the classes).
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© 2006 Springer-Verlag Berlin Heidelberg
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Muhimmah, I., Oliver, A., Denton, E.R.E., Pont, J., Pérez, E., Zwiggelaar, R. (2006). Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk Assessment. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_55
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DOI: https://doi.org/10.1007/11783237_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
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