作者
Arnau Oliver, Jordi Freixenet, Joan Marti, Elsa Perez, Josep Pont, Erika RE Denton, Reyer Zwiggelaar
发表日期
2010/4/1
来源
Medical image analysis
卷号
14
期号
2
页码范围
87-110
出版商
Elsevier
简介
The aim of this paper is to review existing approaches to the automatic detection and segmentation of masses in mammographic images, highlighting the key-points and main differences between the used strategies. The key objective is to point out the advantages and disadvantages of the various approaches. In contrast with other reviews which only describe and compare different approaches qualitatively, this review also provides a quantitative comparison. The performance of seven mass detection methods is compared using two different mammographic databases: a public digitised database and a local full-field digital database. The results are given in terms of Receiver Operating Characteristic (ROC) and Free-response Receiver Operating Characteristic (FROC) analysis.
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A Oliver, J Freixenet, J Marti, E Perez, J Pont… - Medical image analysis, 2010