Comparison between wolfe, boyd, BI-RADS and tabár based mammographic risk assessment

Authors:
Izzati Muhimmah;Arnau Oliver;Erika R. E. Denton;Josep Pont;Elsa Pérez;Reyer Zwiggelaar
Affiliations:
Department of Computer Science, University of Wales Aberystwyth, UK;Dept. of Electronics, Informatics & Automatics, University of Girona, Spain;Department of Breast Imaging, Norwich and Norfolk University Hospital, UK;University Hospital Dr. Josep Trueta of Girona, Spain;University Hospital Dr. Josep Trueta of Girona, Spain;Department of Computer Science, University of Wales Aberystwyth, UK
Venue:
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Year:
2006

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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