A review of automatic mass detection and segmentation in mammographic images

Arnau Oliver, Jordi Freixenet, Joan Marti, Erika R. E. Denton, Reyer Zwiggelaar, Elsa Pérez, Josep Pont

Research output: Contribution to journalArticlepeer-review

355 Citations (SciVal)


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.
Original languageEnglish
Pages (from-to)87-110
JournalMedical Image Analysis
Issue number2
Publication statusPublished - 01 Feb 2010


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