Texture segmentation in mammograms

Reyer Zwiggelaar, Lillian Blot, David Raba, Erika R. E. Denton

Research output: Contribution to conferencePaper

Abstract

We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture modelling is based on the implicit incorporation of spatial information through the introduction of a set-permutation-occurrence matrix. Statistical modelling is used for dimensionality reduction, data generalisation and noise removal purposes. Expectation maximisation modelling of the resulting feature vector provides the basis for image segmentation. The developed segmentation results are used for automatic mammographic risk assessment.
Original languageEnglish
Pages137-140
Number of pages4
Publication statusPublished - 2003
EventProceedings of Medical Image Understanding and Analysis '03 - Sheffield, United Kingdom
Duration: 10 Jul 200311 Jul 2003

Conference

ConferenceProceedings of Medical Image Understanding and Analysis '03
Country/TerritoryUnited Kingdom
CitySheffield
Period10/07/0311/07/03

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