@inproceedings{7312cb0f82234d1ea89c8412b94d1417,
title = "Comparison Between Wolfe, Boyd, BI-RADS and Tab{\'a}r Based Mammographic Risk Assessment",
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 Tab{\'a}r 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 Tab{\'a}r based classification is less straight forward (Spearman's < 0.5, but low correlations mainly caused by one of the classes).",
author = "Izzati Muhimmah and Arnau Oliver and Denton, {Erika R. E.} and Josep Pont and Elsa P{\'e}rez and Reyer Zwiggelaar",
year = "2006",
month = jun,
day = "21",
doi = "10.1007/11783237_55",
language = "English",
isbn = "3540356258",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "407--415",
booktitle = "Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings",
address = "Switzerland",
}