Classification of linear structures in mammographic images

Reyer Zwiggelaar, Caroline R. M. Boggis

Research output: Contribution to conferencePaper


We have developed a novel technique for both the detection and anatomical classification of linear structures in mammographic images. Both stages are based on the statistical modelling of scale-orientation signatures. All experiments are based on a leave-one-out approach. The detection stage has been presented before [1]. For the classification stage real mammographic data was used. As the signatures incorporate scale aspects it is no longer essential to extract scale information which was previously shown to be a bottleneck in obtaining acceptable classification [2]. Spicule classification results show major improvements at low sensitivity and only moderate degradation at high sensitivity. We present spicule images based on both the detection and classification stages.
Original languageEnglish
Number of pages4
Publication statusPublished - 2001
EventMedical Image Understanding and Analysis '01 - University of Birmingham, Birmingham, United Kingdom
Duration: 16 Jul 200117 Jul 2001


ConferenceMedical Image Understanding and Analysis '01
Abbreviated titleMIUA 2001
Country/TerritoryUnited Kingdom

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