Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk Assessment

  • Izzati Muhimmah
  • Arnau Oliver
  • Erika R. E. Denton
  • Josep Pont
  • Elsa Pérez
  • Reyer Zwiggelaar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4046)


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).


Breast Cancer Breast Cancer Risk Mammographic Density Percentage Density Expert Radiologist 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Izzati Muhimmah
    • 1
  • Arnau Oliver
    • 2
  • Erika R. E. Denton
    • 3
  • Josep Pont
    • 4
  • Elsa Pérez
    • 4
  • Reyer Zwiggelaar
    • 1
  1. 1.Department of Computer ScienceUniversity of Wales AberystwythUK
  2. 2.Dept. of Electronics, Informatics & AutomaticsUniversity of GironaSpain
  3. 3.Department of Breast ImagingNorwich and Norfolk University HospitalUK
  4. 4.University Hospital Dr. Josep Trueta of GironaSpain

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