Texture segmentation in mammograms

Zwiggelaar, Reyer, Blot, Lillian, Raba, David and Denton, Erika R. E. (2003) Texture segmentation in mammograms. In: Proceedings of Medical Image Understanding and Analysis '03, 2003-07-10 - 2003-07-11.

Full text not available from this repository.

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.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
Depositing User: Vishal Gautam
Date Deposited: 07 Mar 2011 12:56
Last Modified: 11 Sep 2020 00:02
URI: https://ueaeprints.uea.ac.uk/id/eprint/23923
DOI:

Actions (login required)

View Item View Item