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

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

25 Citations (Scopus)

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).

Original languageEnglish
Title of host publicationDigital Mammography - 8th International Workshop, IWDM 2006, Proceedings
Subtitle of host publication8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings
PublisherSpringer Nature
Pages407-415
Number of pages9
ISBN (Electronic)978-3-540-35627-1
ISBN (Print)3540356258, 9783540356257
DOIs
Publication statusPublished - 21 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4046 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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