A review of automatic mass detection and segmentation in mammographic images

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dc.contributor.author Oliver, Arnau
dc.contributor.author Freixenet, Jordi
dc.contributor.author Marti, Joan
dc.contributor.author Denton, Erika R. E.
dc.contributor.author Zwiggelaar, Reyer
dc.contributor.author Pérez, Elsa
dc.contributor.author Pont, Josep
dc.date.accessioned 2010-02-09T11:28:53Z
dc.date.available 2010-02-09T11:28:53Z
dc.date.issued 2010-02-01
dc.identifier.citation Oliver , A , Freixenet , J , Marti , J , Denton , E R E , Zwiggelaar , R , Pérez , E & Pont , J 2010 , ' A review of automatic mass detection and segmentation in mammographic images ' Medical Image Analysis , vol 14 , no. 2 , pp. 87-110 . , 10.1016/j.media.2009.12.005 en
dc.identifier.issn 1361-8415
dc.identifier.other PURE: 144134
dc.identifier.other dspace: 2160/4050
dc.identifier.uri http://hdl.handle.net/2160/4050
dc.description Oliver, A., Freixenet, J., Marti, J., Pérez, E., Pont, J., Denton, E. R. E., Zwiggelaar, R. (2010) A review of automatic mass detection and segmentation in mammographic images. Medical Image Analysis 14 (2010) 87–110 Sponsorship: Ministerio de Educación y Ciencia of Spain: Grant TIN2007–60553; CIRIT and CUR of DIUiE of Generalitat de Catalunya: Grant 2008SALUT2009. en
dc.description.abstract 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. en
dc.language.iso eng
dc.relation.ispartof Medical Image Analysis en
dc.title A review of automatic mass detection and segmentation in mammographic images en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.media.2009.12.005
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Vision, Graphics and Visualisation Group en
dc.description.status Peer reviewed en


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